Writing
A Complete List of All (arXiv) Adversarial Example Papers

by Nicholas Carlini 2019-06-15



It can be hard to stay up-to-date on the published papers in the field of adversarial examples, where we have seen massive growth in the number of papers written each year. I have been somewhat religiously keeping track of these papers for the last few years, and realized it may be helpful for others to release this list.

The only requirement I used for selecting papers for this list is that it is primarily a paper about adversarial examples, or extensively uses adversarial examples. Due to the sheer quantity of papers, I can't guarantee that I actually have found all of them.

But I did try.

I also may have included papers that don't match these criteria (and are about something different instead), or made inconsistent judgement calls as to whether or not any given paper is mainly an adversarial example paper. Send me an email if something is wrong and I'll correct it.

As a result, this list is completely un-filtered. Everything that mainly presents itself as an adversarial example paper is listed here; I pass no judgement of quality. For a curated list of papers that I think are excellent and worth reading, see the Adversarial Machine Learning Reading List.

One final note about the data. This list automatically updates with new papers, even before I get a chance to manually filter through them. I do this filtering roughly twice a week, and it's then that I'll remove the ones that aren't related to adversarial examples. As a result, there may be some false positives on the most recent few entries. The new un-verified entries will have a probability indicated that my simplistic (but reasonably well calibrated) bag-of-words classifier believes the given paper is actually about adversarial examples.

The full paper list appears below. I've also released a TXT file (and a TXT file with abstracts) and a JSON file with the same data. If you do anything interesting with this data I'd be happy to hear from you what it was.


Paper List

2021-09-15 Universal Adversarial Attack on Deep Learning Based Prognostics. (99%)Arghya Basak; Pradeep Rathore; Sri Harsha Nistala; Sagar Srinivas; Venkataramana Runkana Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. (98%)Alessio Russo; Alexandre Proutiere FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. (93%)DonghuaWang; Tingsong Jiang; Jialiang Sun; Weien Zhou; Xiaoya Zhang; Zhiqiang Gong; Wen Yao; Xiaoqian Chen BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification. (92%)Jens Hauser; Zhao Meng; Damián Pascual; Roger Wattenhofer Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup. (13%)Guang Liu; Yuzhao Mao; Hailong Huang; Weiguo Gao; Xuan Li Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel. (10%)Henrique Teles Maia; Chang Xiao; Dingzeyu Li; Eitan Grinspun; Changxi Zheng 2021-09-14 A Novel Data Encryption Method Inspired by Adversarial Attacks. (99%)Praveen Fernando; Jin Wei-Kocsis Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. (99%)Yao Qiu; Jinchao Zhang; Jie Zhou PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. (99%)Bing He; Mustaque Ahamad; Srijan Kumar Dodging Attack Using Carefully Crafted Natural Makeup. (47%)Nitzan Guetta; Asaf Shabtai; Inderjeet Singh; Satoru Momiyama; Yuval Elovici Avengers Ensemble! Improving Transferability of Authorship Obfuscation. (12%)Muhammad Haroon; Muhammad Fareed Zaffar; Padmini Srinivasan; Zubair Shafiq ARCH: Efficient Adversarial Regularized Training with Caching. (2%)Simiao Zuo; Chen Liang; Haoming Jiang; Pengcheng He; Xiaodong Liu; Jianfeng Gao; Weizhu Chen; Tuo Zhao 2021-09-13 Adversarial Bone Length Attack on Action Recognition. (99%)Nariki Tanaka; Hiroshi Kera; Kazuhiko Kawamoto Randomized Substitution and Vote for Textual Adversarial Example Detection. (99%)Xiaosen Wang; Yifeng Xiong; Kun He Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator. (99%)Wenzhao Xiang; Hang Su; Chang Liu; Yandong Guo; Shibao Zheng Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. (98%)Kevin Richard G. Operiano; Wanchalerm Pora; Hitoshi Iba; Hiroshi Kera A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems. (98%)Moein Sabounchi; Jin Wei-Kocsis Adversarial Examples for Evaluating Math Word Problem Solvers. (96%)Vivek Kumar; Rishabh Maheshwary; Vikram Pudi PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. (86%)Nupur Thakur; Baoxin Li SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. (81%)Jian Xu; Shao-Lun Huang; Linqi Song; Tian Lan Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. (50%)Kun Zhou; Wayne Xin Zhao; Sirui Wang; Fuzheng Zhang; Wei Wu; Ji-Rong Wen Formalizing and Estimating Distribution Inference Risks. (50%)Anshuman Suri; David Evans Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models. (16%)Won Park; Nan Li; Qi Alfred Chen; Z. Morley Mao Adversarially Trained Object Detector for Unsupervised Domain Adaptation. (2%)Kazuma Fujii; Hiroshi Kera; Kazuhiko Kawamoto How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. (1%)Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi; Mehdi Rezagholizadeh Perturbation CheckLists for Evaluating NLG Evaluation Metrics. (1%)Ananya B. Sai; Tanay Dixit; Dev Yashpal Sheth; Sreyas Mohan; Mitesh M. Khapra Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. (1%)Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang; Zhenyu Zhong; Baishakhi Ray 2021-09-12 TREATED:Towards Universal Defense against Textual Adversarial Attacks. (99%)Bin Zhu; Zhaoquan Gu; Le Wang; Zhihong Tian CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. (98%)Xugang Wu; Huijun Wu; Xu Zhou; Kai Lu RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. (84%)Bill Yuchen Lin; Wenyang Gao; Jun Yan; Ryan Moreno; Xiang Ren Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain. (41%)Hasan Abed Al Kader Hammoud; Bernard Ghanem Shape-Biased Domain Generalization via Shock Graph Embeddings. (2%)Maruthi Narayanan; Vickram Rajendran; Benjamin Kimia Source Inference Attacks in Federated Learning. (1%)Hongsheng Hu; Zoran Salcic; Lichao Sun; Gillian Dobbie; Xuyun Zhang 2021-09-11 RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. (98%)Shiyu Tang; Ruihao Gong; Yan Wang; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu; Dawn Song; Alan Yuille; Philip H. S. Torr; Dacheng Tao 2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. (81%)Yonggan Fu; Yang Zhao; Qixuan Yu; Chaojian Li; Yingyan Lin 2021-09-10 A Strong Baseline for Query Efficient Attacks in a Black Box Setting. (99%)Rishabh Maheshwary; Saket Maheshwary; Vikram Pudi 2021-09-09 Protein Folding Neural Networks Are Not Robust. (99%)Sumit Kumar Jha; Arvind Ramanathan; Rickard Ewetz; Alvaro Velasquez; Susmit Jha Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. (99%)Maximilian Mozes; Max Bartolo; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin Towards Transferable Adversarial Attacks on Vision Transformers. (99%)Zhipeng Wei; Jingjing Chen; Micah Goldblum; Zuxuan Wu; Tom Goldstein; Yu-Gang Jiang Energy Attack: On Transferring Adversarial Examples. (99%)Ruoxi Shi; Borui Yang; Yangzhou Jiang; Chenglong Zhao; Bingbing Ni Multi-granularity Textual Adversarial Attack with Behavior Cloning. (98%)Yangyi Chen; Jin Su; Wei Wei Spatially Focused Attack against Spatiotemporal Graph Neural Networks. (81%)Fuqiang Liu; Luis Miranda-Moreno; Lijun Sun Differential Privacy in Personalized Pricing with Nonparametric Demand Models. (26%)Xi Chen; Sentao Miao; Yining Wang 2021-09-08 Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. (89%)Maziar Gomrokchi; Susan Amin; Hossein Aboutalebi; Alexander Wong; Doina Precup Robust Optimal Classification Trees Against Adversarial Examples. (80%)Daniël Vos; Sicco Verwer 2021-09-07 Adversarial Parameter Defense by Multi-Step Risk Minimization. (98%)Zhiyuan Zhang; Ruixuan Luo; Xuancheng Ren; Qi Su; Liangyou Li; Xu Sun POW-HOW: An enduring timing side-channel to evadeonline malware sandboxes. (10%)Antonio Nappa; Panagiotis Papadopoulos; Matteo Varvello; Daniel Aceituno Gomez; Juan Tapiador; Andrea Lanzi Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints. (1%)Xiang Chen; Jinshan Pan; Kui Jiang; Yufeng Huang; Caihua Kong; Longgang Dai; Yufeng Li 2021-09-06 Robustness and Generalization via Generative Adversarial Training. (82%)Omid Poursaeed; Tianxing Jiang; Harry Yang; Serge Belongie; SerNam Lim Trojan Signatures in DNN Weights. (33%)Greg Fields; Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar; Tara Javidi Automated Robustness with Adversarial Training as a Post-Processing Step. (4%)Ambrish Rawat; Mathieu Sinn; Beat Buesser Exposing Length Divergence Bias of Textual Matching Models. (2%)Lan Jiang; Tianshu Lyu; Chong Meng; Xiaoyong Lyu; Dawei Yin 2021-09-05 Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. (98%)Shengcai Liu; Ning Lu; Cheng Chen; Ke Tang Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. (2%)Yusen Wu; Hao Chen; Xin Wang; Chao Liu; Phuong Nguyen; Yelena Yesha DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. (1%)Nadia Daoudi; Jordan Samhi; Abdoul Kader Kabore; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein 2021-09-04 Real-World Adversarial Examples involving Makeup Application. (99%)Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness. (99%)Uriya Pesso; Koby Bibas; Meir Feder Training Meta-Surrogate Model for Transferable Adversarial Attack. (99%)Yunxiao Qin; Yuanhao Xiong; Jinfeng Yi; Cho-Jui Hsieh 2021-09-03 SEC4SR: A Security Analysis Platform for Speaker Recognition. (99%)Guangke Chen; Zhe Zhao; Fu Song; Sen Chen; Lingling Fan; Yang Liu Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks. (1%)Tianci Yang; Carlos Murguia; Chen Lv 2021-09-02 A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. (99%)Guanxiong Liu; Issa Khalil; Abdallah Khreishah; NhatHai Phan Impact of Attention on Adversarial Robustness of Image Classification Models. (99%)Prachi Agrawal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal Adversarial Robustness for Unsupervised Domain Adaptation. (98%)Muhammad Awais; Fengwei Zhou; Hang Xu; Lanqing Hong; Ping Luo; Sung-Ho Bae; Zhenguo Li Real World Robustness from Systematic Noise. (91%)Yan Wang; Yuhang Li; Ruihao Gong Building Compact and Robust Deep Neural Networks with Toeplitz Matrices. (61%)Alexandre Araujo 2021-09-01 Towards Improving Adversarial Training of NLP Models. (98%)Jin Yong Yoo; Yanjun Qi Excess Capacity and Backdoor Poisoning. (97%)Naren Sarayu Manoj; Avrim Blum Regional Adversarial Training for Better Robust Generalization. (96%)Chuanbiao Song; Yanbo Fan; Yicheng Yang; Baoyuan Wu; Yiming Li; Zhifeng Li; Kun He R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. (86%)Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique Proof Transfer for Neural Network Verification. (9%)Christian Sprecher; Marc Fischer; Dimitar I. Dimitrov; Gagandeep Singh; Martin Vechev Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. (2%)Anuj Dubey; Rosario Cammarota; Vikram Suresh; Aydin Aysu 2021-08-31 Morphence: Moving Target Defense Against Adversarial Examples. (99%)Abderrahmen Amich; Birhanu Eshete EG-Booster: Explanation-Guided Booster of ML Evasion Attacks. (99%)Abderrahmen Amich; Birhanu Eshete DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors. (86%)Yexin Duan; Jialin Chen; Xingyu Zhou; Junhua Zou; Zhengyun He; Wu Zhang; Zhisong Pan Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. (83%)Zhenrui Yue; Zhankui He; Huimin Zeng; Julian McAuley Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning. (75%)Doha Al Bared; Mohamed Nassar Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning. (4%)Linyang Li; Demin Song; Xiaonan Li; Jiehang Zeng; Ruotian Ma; Xipeng Qiu 2021-08-30 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. (99%)Mazda Moayeri; Soheil Feizi Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise. (99%)Mingyu Dong; Diqun Yan; Yongkang Gong; Rangding Wang Investigating Vulnerabilities of Deep Neural Policies. (99%)Ezgi Korkmaz Single Node Injection Attack against Graph Neural Networks. (68%)Shuchang Tao; Qi Cao; Huawei Shen; Junjie Huang; Yunfan Wu; Xueqi Cheng Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms. (41%)Albert Jiménez Sanfiz; Mohamed Akrout Adaptive perturbation adversarial training: based on reinforcement learning. (41%)Zhishen Nie; Ying Lin; Sp Ren; Lan Zhang How Does Adversarial Fine-Tuning Benefit BERT? (33%)Javid Ebrahimi; Hao Yang; Wei Zhang ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. (26%)Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; Daehun Nyang; David Mohaisen DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation. (1%)Lijie Wang; Hao Liu; Shuyuan Peng; Hongxuan Tang; Xinyan Xiao; Ying Chen; Hua Wu; Haifeng Wang 2021-08-29 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. (99%)Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang; Kai-Wei Chang; Cho-Jui Hsieh Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. (98%)Zeyuan Wang; Chaofeng Sha; Su Yang DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. (82%)Shiwen Ni; Jiawen Li; Hung-Yu Kao 2021-08-27 Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights. (99%)Omid Kargarnovin; Amir Mahdi Sadeghzadeh; Rasool Jalili Disrupting Adversarial Transferability in Deep Neural Networks. (98%)Christopher Wiedeman; Ge Wang Evaluating the Robustness of Neural Language Models to Input Perturbations. (16%)Milad Moradi; Matthias Samwald Deep learning models are not robust against noise in clinical text. (1%)Milad Moradi; Kathrin Blagec; Matthias Samwald 2021-08-26 Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. (99%)Landan Seguin; Anthony Ndirango; Neeli Mishra; SueYeon Chung; Tyler Lee A Hierarchical Assessment of Adversarial Severity. (98%)Guillaume Jeanneret; Juan C Perez; Pablo Arbelaez Physical Adversarial Attacks on an Aerial Imagery Object Detector. (96%)Andrew Du; Bo Chen; Tat-Jun Chin; Yee Wei Law; Michele Sasdelli; Ramesh Rajasegaran; Dillon Campbell Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference. (80%)Yang Zheng; Xiaoyi Feng; Zhaoqiang Xia; Xiaoyue Jiang; Ambra Demontis; Maura Pintor; Battista Biggio; Fabio Roli Detection and Continual Learning of Novel Face Presentation Attacks. (2%)Mohammad Rostami; Leonidas Spinoulas; Mohamed Hussein; Joe Mathai; Wael Abd-Almageed 2021-08-25 Adversarially Robust One-class Novelty Detection. (99%)Shao-Yuan Lo; Poojan Oza; Vishal M. Patel Backdoor Attacks on Network Certification via Data Poisoning. (98%)Tobias Lorenz; Marta Kwiatkowska; Mario Fritz Bridged Adversarial Training. (93%)Hoki Kim; Woojin Lee; Sungyoon Lee; Jaewook Lee Generalized Real-World Super-Resolution through Adversarial Robustness. (93%)Angela Castillo; María Escobar; Juan C. Pérez; Andrés Romero; Radu Timofte; Gool Luc Van; Pablo Arbeláez 2021-08-24 Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE. (99%)Wenzhao Xiang; Chang Liu; Shibao Zheng Are socially-aware trajectory prediction models really socially-aware? (92%)Saeed Saadatnejad; Mohammadhossein Bahari; Pedram Khorsandi; Mohammad Saneian; Seyed-Mohsen Moosavi-Dezfooli; Alexandre Alahi OOWL500: Overcoming Dataset Collection Bias in the Wild. (76%)Brandon Leung; Chih-Hui Ho; Amir Persekian; David Orozco; Yen Chang; Erik Sandstrom; Bo Liu; Nuno Vasconcelos StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. (1%)Sanghyuk Chun; Song Park 2021-08-23 Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. (99%)Wenjie Ruan; Xinping Yi; Xiaowei Huang Semantic-Preserving Adversarial Text Attacks. (99%)Xinghao Yang; Weifeng Liu; James Bailey; Tianqing Zhu; Dacheng Tao; Wei Liu Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks. (99%)Nima Mirnateghi; Syed Afaq Ali Shah; Mohammed Bennamoun Kryptonite: An Adversarial Attack Using Regional Focus. (99%)Yogesh Kulkarni; Krisha Bhambani Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning. (54%)Virat Shejwalkar; Amir Houmansadr; Peter Kairouz; Daniel Ramage SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. (4%)Md Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce 2021-08-22 Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations. (99%)Inci M. Baytas; Debayan Deb Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency. (92%)Xueping Wang; Shasha Li; Min Liu; Yaonan Wang; Amit K. Roy-Chowdhury Relating CNNs with brain: Challenges and findings. (10%)Reem Abdel-Salam 2021-08-21 A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. (99%)Jiaming Mu; Binghui Wang; Qi Li; Kun Sun; Mingwei Xu; Zhuotao Liu "Adversarial Examples" for Proof-of-Learning. (98%)Rui Zhang; Jian Liu; Yuan Ding; Qingbiao Wu; Kui Ren Regularizing (Stabilizing) Deep Learning Based Reconstruction Algorithms. (2%)Abinash Nayak 2021-08-20 PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. (99%)Chong Xiang; Saeed Mahloujifar; Prateek Mittal AdvDrop: Adversarial Attack to DNNs by Dropping Information. (99%)Ranjie Duan; Yuefeng Chen; Dantong Niu; Yun Yang; A. K. Qin; Yuan He Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. (98%)Haowen Lin; Jian Lou; Li Xiong; Cyrus Shahabi Towards Understanding the Generative Capability of Adversarially Robust Classifiers. (98%)Yao Zhu; Jiacheng Ma; Jiacheng Sun; Zewei Chen; Rongxin Jiang; Zhenguo Li Detecting and Segmenting Adversarial Graphics Patterns from Images. (93%)Xiangyu Purdue University Qu; Stanley H. Purdue University Chan UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning. (1%)Ege Erdogan; Alptekin Kupcu; A. Ercument Cicek Early-exit deep neural networks for distorted images: providing an efficient edge offloading. (1%)Roberto G. Pacheco; Fernanda D. V. R. Oliveira; Rodrigo S. Couto 2021-08-19 Application of Adversarial Examples to Physical ECG Signals. (99%)Taiga Waseda University Ono; Takeshi The University of Electro-Communications Sugawara; Jun University of Tsukuba Sakuma; Tatsuya Waseda University RIKEN AIP Mori Pruning in the Face of Adversaries. (99%)Florian Merkle; Maximilian Samsinger; Pascal Schöttle ASAT: Adaptively Scaled Adversarial Training in Time Series. (98%)Zhiyuan Zhang; Wei Li; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. (80%)Guangyao Chen; Peixi Peng; Li Ma; Jia Li; Lin Du; Yonghong Tian 2021-08-18 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. (99%)Bojia Zi; Shihao Zhao; Xingjun Ma; Yu-Gang Jiang Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes. (98%)Mingjun Yin; Shasha Li; Zikui Cai; Chengyu Song; M. Salman Asif; Amit K. Roy-Chowdhury; Srikanth V. Krishnamurthy MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression. (45%)Zhaoyang Jia; Han Fang; Weiming Zhang Proceedings of the 1st International Workshop on Adaptive Cyber Defense. (1%)Damian Marriott; Kimberly Ferguson-Walter; Sunny Fugate; Marco Carvalho 2021-08-17 When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples. (98%)Maximilian Samsinger; Florian Merkle; Pascal Schöttle; Tomas Pevny Adversarial Relighting against Face Recognition. (98%)Ruijun Gao; Qing Guo; Qian Zhang; Felix Juefei-Xu; Hongkai Yu; Wei Feng Semantic Perturbations with Normalizing Flows for Improved Generalization. (13%)Oguz Kaan Yuksel; Sebastian U. Stich; Martin Jaggi; Tatjana Chavdarova Coalesced Multi-Output Tsetlin Machines with Clause Sharing. (1%)Sondre Glimsdal; Ole-Christoffer Granmo Appearance Based Deep Domain Adaptation for the Classification of Aerial Images. (1%)Dennis Wittich; Franz Rottensteiner 2021-08-16 Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy. (99%)Ruikui Wang; Yuanfang Guo; Ruijie Yang; Yunhong Wang Interpreting Attributions and Interactions of Adversarial Attacks. (83%)Xin Wang; Shuyun Lin; Hao Zhang; Yufei Zhu; Quanshi Zhang Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? (62%)Max Lennon; Nathan Drenkow; Philippe Burlina NeuraCrypt is not private. (10%)Nicholas Carlini; Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Florian Tramer On the Opportunities and Risks of Foundation Models. (2%)Rishi Bommasani; Drew A. Hudson; Ehsan Adeli; Russ Altman; Simran Arora; Arx Sydney von; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; Dallas Card; Rodrigo Castellon; Niladri Chatterji; Annie Chen; Kathleen Creel; Jared Quincy Davis; Dora Demszky; Chris Donahue; Moussa Doumbouya; Esin Durmus; Stefano Ermon; John Etchemendy; Kawin Ethayarajh; Li Fei-Fei; Chelsea Finn; Trevor Gale; Lauren Gillespie; Karan Goel; Noah Goodman; Shelby Grossman; Neel Guha; Tatsunori Hashimoto; Peter Henderson; John Hewitt; Daniel E. Ho; Jenny Hong; Kyle Hsu; Jing Huang; Thomas Icard; Saahil Jain; Dan Jurafsky; Pratyusha Kalluri; Siddharth Karamcheti; Geoff Keeling; Fereshte Khani; Omar Khattab; Pang Wei Koh; Mark Krass; Ranjay Krishna; Rohith Kuditipudi; Ananya Kumar; Faisal Ladhak; Mina Lee; Tony Lee; Jure Leskovec; Isabelle Levent; Xiang Lisa Li; Xuechen Li; Tengyu Ma; Ali Malik; Christopher D. Manning; Suvir Mirchandani; Eric Mitchell; Zanele Munyikwa; Suraj Nair; Avanika Narayan; Deepak Narayanan; Ben Newman; Allen Nie; Juan Carlos Niebles; Hamed Nilforoshan; Julian Nyarko; Giray Ogut; Laurel Orr; Isabel Papadimitriou; Joon Sung Park; Chris Piech; Eva Portelance; Christopher Potts; Aditi Raghunathan; Rob Reich; Hongyu Ren; Frieda Rong; Yusuf Roohani; Camilo Ruiz; Jack Ryan; Christopher Ré; Dorsa Sadigh; Shiori Sagawa; Keshav Santhanam; Andy Shih; Krishnan Srinivasan; Alex Tamkin; Rohan Taori; Armin W. Thomas; Florian Tramèr; Rose E. Wang; William Wang; Bohan Wu; Jiajun Wu; Yuhuai Wu; Sang Michael Xie; Michihiro Yasunaga; Jiaxuan You; Matei Zaharia; Michael Zhang; Tianyi Zhang; Xikun Zhang; Yuhui Zhang; Lucia Zheng; Kaitlyn Zhou; Percy Liang Identifying and Exploiting Structures for Reliable Deep Learning. (2%)Amartya Sanyal 2021-08-15 Neural Architecture Dilation for Adversarial Robustness. (81%)Yanxi Li; Zhaohui Yang; Yunhe Wang; Chang Xu Deep Adversarially-Enhanced k-Nearest Neighbors. (74%)Ren Wang; Tianqi Chen IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. (1%)Ruixuan Liu; Changliu Liu 2021-08-14 LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. (1%)Fan Wu; Yunhui Long; Ce Zhang; Bo Li 2021-08-13 Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks. (99%)Federico Nesti; Giulio Rossolini; Saasha Nair; Alessandro Biondi; Giorgio Buttazzo Optical Adversarial Attack. (98%)Abhiram Gnanasambandam; Alex M. Sherman; Stanley H. Chan Understanding Structural Vulnerability in Graph Convolutional Networks. (96%)Liang Chen; Jintang Li; Qibiao Peng; Yang Liu; Zibin Zheng; Carl Yang The Forgotten Threat of Voltage Glitching: A Case Study on Nvidia Tegra X2 SoCs. (1%)Otto Bittner; Thilo Krachenfels; Andreas Galauner; Jean-Pierre Seifert 2021-08-12 AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. (99%)Hong Wang; Yuefan Deng; Shinjae Yoo; Haibin Ling; Yuewei Lin Deep adversarial attack on target detection systems. (99%)Uche M. Osahor; Nasser M. Nasrabadi Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate. (68%)Hannah Rose Kirk; Bertram Vidgen; Paul Röttger; Tristan Thrush; Scott A. Hale 2021-08-11 Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack. (98%)Zitao Chen; Pritam Dash; Karthik Pattabiraman Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms. (78%)Anahita Samadi; Debapriya Banerjee; Shirin Nilizadeh Are Neural Ranking Models Robust? (4%)Chen Wu; Ruqing Zhang; Jiafeng Guo; Yixing Fan; Xueqi Cheng Logic Explained Networks. (1%)Gabriele Ciravegna; Pietro Barbiero; Francesco Giannini; Marco Gori; Pietro Lió; Marco Maggini; Stefano Melacci 2021-08-10 Simple black-box universal adversarial attacks on medical image classification based on deep neural networks. (99%)Kazuki Koga; Kazuhiro Takemoto On the Effect of Pruning on Adversarial Robustness. (81%)Artur Jordao; Helio Pedrini SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). (68%)Nils Lukas; Edward Jiang; Xinda Li; Florian Kerschbaum Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. (64%)Sanchit Sinha; Hanjie Chen; Arshdeep Sekhon; Yangfeng Ji; Yanjun Qi UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks. 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(1%)Chuanpu Fu; Qi Li; Meng Shen; Ke Xu 2021-06-27 RAILS: A Robust Adversarial Immune-inspired Learning System. (96%)Ren Wang; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Alnawaz Rehemtulla; Indika Rajapakse; Alfred Hero Who is Responsible for Adversarial Defense? (93%)Kishor Datta Gupta; Dipankar Dasgupta Immuno-mimetic Deep Neural Networks (Immuno-Net). (64%)Ren Wang; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Indika Rajapakse; Alfred Hero ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. (31%)Ren Wang; Tianqi Chen; Philip Yao; Sijia Liu; Indika Rajapakse; Alfred Hero Stabilizing Equilibrium Models by Jacobian Regularization. (1%)Shaojie Bai; Vladlen Koltun; J. Zico Kolter 2021-06-26 Multi-stage Optimization based Adversarial Training. (99%)Xiaosen Wang; Chuanbiao Song; Liwei Wang; Kun He The Feasibility and Inevitability of Stealth Attacks. (68%)Ivan Y. Tyukin; Desmond J. Higham; Eliyas Woldegeorgis; Alexander N. 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(99%)Yonggang Zhang; Mingming Gong; Tongliang Liu; Gang Niu; Xinmei Tian; Bo Han; Bernhard Schölkopf; Kun Zhang Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. (99%)Nezihe Merve Gürel; Xiangyu Qi; Luka Rimanic; Ce Zhang; Bo Li Adversarial purification with Score-based generative models. (89%)Jongmin Yoon; Sung Ju Hwang; Juho Lee Relaxing Local Robustness. (80%)Klas Leino; Matt Fredrikson TDGIA:Effective Injection Attacks on Graph Neural Networks. (76%)Xu Zou; Qinkai Zheng; Yuxiao Dong; Xinyu Guan; Evgeny Kharlamov; Jialiang Lu; Jie Tang Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution. (56%)Fanchao Qi; Yuan Yao; Sophia Xu; Zhiyuan Liu; Maosong Sun CARTL: Cooperative Adversarially-Robust Transfer Learning. (8%)Dian Chen; Hongxin Hu; Qian Wang; Yinli Li; Cong Wang; Chao Shen; Qi Li A Shuffling Framework for Local Differential Privacy. 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(38%)Chun Fan; Xiaoya Li; Yuxian Meng; Xiaofei Sun; Xiang Ao; Fei Wu; Jiwei Li; Tianwei Zhang Robust Learning via Persistency of Excitation. (22%)Kaustubh Sridhar; Oleg Sokolsky; Insup Lee; James Weimer Sneak Attack against Mobile Robotic Networks under Formation Control. (1%)Yushan Li; Jianping He; Xuda Ding; Lin Cai; Xinping Guan 2021-06-02 PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. (99%)Alexander Matyasko; Lap-Pui Chau Towards Robustness of Text-to-SQL Models against Synonym Substitution. (75%)Yujian Gan; Xinyun Chen; Qiuping Huang; Matthew Purver; John R. Woodward; Jinxia Xie; Pengsheng Huang BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. (62%)Yannik Keller; Jan Mackensen; Steffen Eger 2021-06-01 Adversarial Defense for Automatic Speaker Verification by Self-Supervised Learning. (99%)Haibin Wu; Xu Li; Andy T. Liu; Zhiyong Wu; Helen Meng; Hung-yi Lee Improving Compositionality of Neural Networks by Decoding Representations to Inputs. (54%)Mike Wu; Noah Goodman; Stefano Ermon Markpainting: Adversarial Machine Learning meets Inpainting. (12%)David Khachaturov; Ilia Shumailov; Yiren Zhao; Nicolas Papernot; Ross Anderson On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. (9%)Divyansh Kaushik; Douwe Kiela; Zachary C. Lipton; Wen-tau Yih Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. (5%)Linjie Li; Jie Lei; Zhe Gan; Jingjing Liu Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. (1%)Rosa Biagio La; Roberto Capobianco; Daniele Nardi Concurrent Adversarial Learning for Large-Batch Training. (1%)Yong Liu; Xiangning Chen; Minhao Cheng; Cho-Jui Hsieh; Yang You 2021-05-31 Adaptive Feature Alignment for Adversarial Training. (99%)Tao Wang; Ruixin Zhang; Xingyu Chen; Kai Zhao; Xiaolin Huang; Yuge Huang; Shaoxin Li; Jilin Li; Feiyue Huang QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. (99%)Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang Transferable Sparse Adversarial Attack. (99%)Ziwen He; Wei Wang; Jing Dong; Tieniu Tan Adversarial Training with Rectified Rejection. (87%)Tianyu Pang; Huishuai Zhang; Di He; Yinpeng Dong; Hang Su; Wei Chen; Jun Zhu; Tie-Yan Liu Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models. (82%)Ameya D. Patil; Michael Tuttle; Alexander G. Schwing; Naresh R. Shanbhag Dominant Patterns: Critical Features Hidden in Deep Neural Networks. (80%)Zhixing Ye; Shaofei Qin; Sizhe Chen; Xiaolin Huang Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. (75%)Chong Li; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang Gradient-based Data Subversion Attack Against Binary Classifiers. (73%)Rosni K Vasu; Sanjay Seetharaman; Shubham Malaviya; Manish Shukla; Sachin Lodha DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. (1%)Asma Ghandeharioun; Been Kim; Chun-Liang Li; Brendan Jou; Brian Eoff; Rosalind W. Picard The effectiveness of feature attribution methods and its correlation with automatic evaluation scores. (1%)Giang Nguyen; Daeyoung Kim; Anh Nguyen 2021-05-30 Generating Adversarial Examples with Graph Neural Networks. (99%)Florian Jaeckle; M. Pawan Kumar Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice. (98%)Rongzhou Bao; Jiayi Wang; Hai Zhao Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks. (62%)Ramy Maarouf; Danish Sattar; Ashraf Matrawy NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? (26%)Jingfeng Zhang; Xilie Xu; Bo Han; Tongliang Liu; Gang Niu; Lizhen Cui; Masashi Sugiyama DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. (12%)Baußnern Samuel von; Johannes Otterbach; Adrian Loy; Mathieu Salzmann; Thomas Wollmann 2021-05-29 Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations. (99%)Mingfu Xue; Yinghao Wu; Zhiyu Wu; Jian Wang; Yushu Zhang; Weiqiang Liu Analysis and Applications of Class-wise Robustness in Adversarial Training. (99%)Qi Tian; Kun Kuang; Kelu Jiang; Fei Wu; Yisen Wang A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices. (2%)Dingding Wang; Muhui Jiang; Rui Chang; Yajin Zhou; Baolei Hou; Xiapu Luo; Lei Wu; Kui Ren 2021-05-28 Demotivate adversarial defense in remote sensing. (99%)Adrien Chan-Hon-Tong; Gaston Lenczner; Aurelien Plyer AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption. (92%)Mingfu Xue; Zhiyu Wu; Jian Wang; Yushu Zhang; Weiqiang Liu Robust Regularization with Adversarial Labelling of Perturbed Samples. (83%)Xiaohui Guo; Richong Zhang; Yaowei Zheng; Yongyi Mao SafeAMC: Adversarial training for robust modulation recognition models. (83%)Javier Maroto; Gérôme Bovet; Pascal Frossard Towards optimally abstaining from prediction. (78%)Adam Tauman Kalai; Varun Kanade Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. (76%)Glenn Dawson; Robi Polikar Visualizing Representations of Adversarially Perturbed Inputs. (68%)Daniel Steinberg; Paul Munro Chromatic and spatial analysis of one-pixel attacks against an image classifier. (15%)Janne Alatalo; Joni Korpihalkola; Tuomo Sipola; Tero Kokkonen DeepMoM: Robust Deep Learning With Median-of-Means. (1%)Shih-Ting Huang; Johannes Lederer 2021-05-27 A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. (84%)Xi Li; David J. Miller; Zhen Xiang; George Kesidis 2021-05-26 Deep Repulsive Prototypes for Adversarial Robustness. (99%)Alex Serban; Erik Poll; Joost Visser Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. (98%)Heng Chang; Yu Rong; Tingyang Xu; Wenbing Huang; Honglei Zhang; Peng Cui; Xin Wang; Wenwu Zhu; Junzhou Huang Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model. (76%)Francesco Croce; Matthias Hein Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. (61%)Fanchao Qi; Mukai Li; Yangyi Chen; Zhengyan Zhang; Zhiyuan Liu; Yasheng Wang; Maosong Sun Fooling Partial Dependence via Data Poisoning. (13%)Hubert Baniecki; Wojciech Kretowicz; Przemyslaw Biecek 2021-05-25 Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. (98%)Yatong Bai; Tanmay Gautam; Yu Gai; Somayeh Sojoudi Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation. (98%)Mst. Tasnim Pervin; Linmi Tao; Aminul Huq; Zuoxiang He; Li Huo Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. (67%)Mohammad Malekzadeh; Anastasia Borovykh; Deniz Gündüz Robust Value Iteration for Continuous Control Tasks. (9%)Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg 2021-05-24 OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS. (99%)Guangquan Xu; GuoHua Xin; Litao Jiao; Jian Liu; Shaoying Liu; Meiqi Feng; Xi Zheng Learning Security Classifiers with Verified Global Robustness Properties. (92%)Yizheng Chen; Shiqi Wang; Yue Qin; Xiaojing Liao; Suman Jana; David Wagner Feature Space Targeted Attacks by Statistic Alignment. (82%)Lianli Gao; Yaya Cheng; Qilong Zhang; Xing Xu; Jingkuan Song Improved OOD Generalization via Adversarial Training and Pre-training. (12%)Mingyang Yi; Lu Hou; Jiacheng Sun; Lifeng Shang; Xin Jiang; Qun Liu; Zhi-Ming Ma Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. (5%)Hannah Kim; Girmaw Abebe Tadesse; Celia Cintas; Skyler Speakman; Kush Varshney Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. (1%)Ludovic Barman; Alexandre Dumur; Apostolos Pyrgelis; Jean-Pierre Hubaux Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models. (1%)Jieyu Lin; Jiajie Zou; Nai Ding Dissecting Click Fraud Autonomy in the Wild. (1%)Tong Zhu; Yan Meng; Haotian Hu; Xiaokuan Zhang; Minhui Xue; Haojin Zhu 2021-05-23 Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. (92%)Lingjuan Lyu; Xuanli He; Fangzhao Wu; Lichao Sun CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. (92%)Hao Huang; Yongtao Wang; Zhaoyu Chen; Yuheng Li; Zhi Tang; Wei Chu; Jingdong Chen; Weisi Lin; Kai-Kuang Ma Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. (12%)Javier Carnerero-Cano; Luis Muñoz-González; Phillippa Spencer; Emil C. Lupu 2021-05-22 Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems. (99%)Yifan Jia; Jingyi Wang; Christopher M. Poskitt; Sudipta Chattopadhyay; Jun Sun; Yuqi Chen Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. (98%)Jinyu Yang; Chunyuan Li; Weizhi An; Hehuan Ma; Yuzhi Guo; Yu Rong; Peilin Zhao; Junzhou Huang Securing Optical Networks using Quantum-secured Blockchain: An Overview. 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Miller; George Kesidis Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance. (11%)Jack W. Stokes; Paul England; Kevin Kane TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. (1%)Yu Li; Min Li; Qiuxia Lai; Yannan Liu; Qiang Xu 2021-05-19 Attack on practical speaker verification system using universal adversarial perturbations. (99%)Weiyi Zhang; Shuning Zhao; Le Liu; Jianmin Li; Xingliang Cheng; Thomas Fang Zheng; Xiaolin Hu Local Aggressive Adversarial Attacks on 3D Point Cloud. (99%)Yiming Sun; Feng Chen; Zhiyu Chen; Mingjie Wang; Ruonan Li An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks. (76%)Cong Xu; Xiang Li; Min Yang Balancing Robustness and Sensitivity using Feature Contrastive Learning. (15%)Seungyeon Kim; Daniel Glasner; Srikumar Ramalingam; Cho-Jui Hsieh; Kishore Papineni; Sanjiv Kumar DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. (1%)Yukui Luo; Cheng Gongye; Yunsi Fei; Xiaolin Xu User Label Leakage from Gradients in Federated Learning. (1%)Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser Hunter in the Dark: Deep Ensemble Networks for Discovering Anomalous Activity from Smart Networks. (1%)Shiyi Yang; Nour Moustafa; Hui Guo 2021-05-18 Sparta: Spatially Attentive and Adversarially Robust Activation. (99%)Qing Guo; Felix Juefei-Xu; Changqing Zhou; Yang Liu; Song Wang Detecting Adversarial Examples with Bayesian Neural Network. (99%)Yao Li; Tongyi Tang; Cho-Jui Hsieh; Thomas C. M. Lee Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. (98%)Dequan Wang; An Ju; Evan Shelhamer; David Wagner; Trevor Darrell On the Robustness of Domain Constraints. (98%)Ryan Sheatsley; Blaine Hoak; Eric Pauley; Yohan Beugin; Michael J. Weisman; Patrick McDaniel Learning and Certification under Instance-targeted Poisoning. (82%)Ji Gao; Amin Karbasi; Mohammad Mahmoody 2021-05-17 Towards Robust Vision Transformer. (95%)Xiaofeng Mao; Gege Qi; Yuefeng Chen; Xiaodan Li; Ranjie Duan; Shaokai Ye; Yuan He; Hui Xue Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. (93%)Franziska Boenisch; Philip Sperl; Konstantin Böttinger An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis. (69%)Haotian Gu; Xin Guo 2021-05-16 Vision Transformers are Robust Learners. (99%)Sayak Paul; Pin-Yu Chen Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing. (99%)Xunguang Wang; Zheng Zhang; Baoyuan Wu; Fumin Shen; Guangming Lu SoundFence: Securing Ultrasonic Sensors in Vehicles Using Physical-Layer Defense. (2%)Jianzhi Lou; Qiben Yan; Qing Hui; Huacheng Zeng 2021-05-15 Real-time Detection of Practical Universal Adversarial Perturbations. (99%)Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Emil C. Lupu 2021-05-14 Salient Feature Extractor for Adversarial Defense on Deep Neural Networks. (99%)Jinyin Chen; Ruoxi Chen; Haibin Zheng; Zhaoyan Ming; Wenrong Jiang; Chen Cui High-Robustness, Low-Transferability Fingerprinting of Neural Networks. (9%)Siyue Wang; Xiao Wang; Pin-Yu Chen; Pu Zhao; Xue Lin Information-theoretic Evolution of Model Agnostic Global Explanations. (1%)Sukriti Verma; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy Iterative Algorithms for Assessing Network Resilience Against Structured Perturbations. (1%)Shenyu Liu; Sonia Martinez; Jorge Cortes 2021-05-13 Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. (98%)Lorena Qendro; Sangwon Ha; Jong René de; Partha Maji When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks. (5%)Jiahang Wang; Sheng Jin; Wentao Liu; Weizhong Liu; Chen Qian; Ping Luo DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. (1%)Yingzhe He; Guozhu Meng; Kai Chen; Jinwen He; Xingbo Hu Biometrics: Trust, but Verify. (1%)Anil K. Jain; Debayan Deb; Joshua J. Engelsma 2021-05-12 AVA: Adversarial Vignetting Attack against Visual Recognition. (99%)Binyu Tian; Felix Juefei-Xu; Qing Guo; Xiaofei Xie; Xiaohong Li; Yang Liu OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack. (70%)DongHyun Choi; Myeong Cheol Shin; EungGyun Kim; Dong Ryeol Shin Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control. (2%)Feng Wang; M. Cenk Gursoy; Senem Velipasalar A Statistical Threshold for Adversarial Classification in Laplace Mechanisms. (1%)Ayşe Ünsal; Melek Önen 2021-05-11 Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. 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(13%)Shuo Wang; Lingjuan Lyu; Surya Nepal; Carsten Rudolph; Marthie Grobler; Kristen Moore Learning Image Attacks toward Vision Guided Autonomous Vehicles. (4%)Hyung-Jin Yoon; Hamidreza Jafarnejadsani; Petros Voulgaris Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training. (1%)Yarden Sharon; Daniel Naftalovich; Lidor Bahar; Yael Refaely; Ilana Nisky 2021-05-08 Self-Supervised Adversarial Example Detection by Disentangled Representation. (99%)Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Shengshan Hu; Jinyu Tian; Jiantao Zhou De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. (96%)Jian Chen; Xuxin Zhang; Rui Zhang; Chen Wang; Ling Liu Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. (93%)Jiehang Zeng; Xiaoqing Zheng; Jianhan Xu; Linyang Li; Liping Yuan; Xuanjing Huang Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility. (16%)Charles Jin; Melinda Sun; Martin Rinard 2021-05-07 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. (99%)Bangjie Yin; Wenxuan Wang; Taiping Yao; Junfeng Guo; Zelun Kong; Shouhong Ding; Jilin Li; Cong Liu Uniform Convergence, Adversarial Spheres and a Simple Remedy. (15%)Gregor Bachmann; Seyed-Mohsen Moosavi-Dezfooli; Thomas Hofmann 2021-05-06 Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model. (99%)Ruoxi Qin; Linyuan Wang; Xingyuan Chen; Xuehui Du; Bin Yan A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking. (99%)Zhenbang Li; Yaya Shi; Jin Gao; Shaoru Wang; Bing Li; Pengpeng Liang; Weiming Hu Understanding Catastrophic Overfitting in Adversarial Training. (92%)Peilin Kang; Seyed-Mohsen Moosavi-Dezfooli Attestation Waves: Platform Trust via Remote Power Analysis. (1%)Ignacio M. Delgado-Lozano; Macarena C. Martínez-Rodríguez; Alexandros Bakas; Billy Bob Brumley; Antonis Michalas 2021-05-05 Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. (99%)Matthew Durham University, Durham, UK Watson; Noura Al Durham University, Durham, UK Moubayed Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. (97%)Faiq Khalid; Muhammad Abdullah Hanif; Muhammad Shafique Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. (1%)Robert A. Marsden; Alexander Bartler; Mario Döbler; Bin Yang A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. (1%)Devansh Bisla; Apoorva Nandini Saridena; Anna Choromanska 2021-05-04 Poisoning the Unlabeled Dataset of Semi-Supervised Learning. (92%)Nicholas Carlini Broadly Applicable Targeted Data Sample Omission Attacks. (68%)Guy Barash; Eitan Farchi; Sarit Kraus; Onn Shehory An Overview of Laser Injection against Embedded Neural Network Models. (2%)Mathieu Dumont; Pierre-Alain Moellic; Raphael Viera; Jean-Max Dutertre; Rémi Bernhard 2021-05-03 Physical world assistive signals for deep neural network classifiers -- neither defense nor attack. (83%)Camilo Pestana; Wei Liu; David Glance; Robyn Owens; Ajmal Mian Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. (73%)Yixu Wang; Jie Li; Hong Liu; Yan Wang; Yongjian Wu; Feiyue Huang; Rongrong Ji 2021-05-02 Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. (99%)Luke Chang; Katharina Dost; Kaiqi Zhao; Ambra Demontis; Fabio Roli; Gill Dobbie; Jörg Wicker Who's Afraid of Adversarial Transferability? (99%)Ziv Katzir; Yuval Elovici Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. (10%)Lifeng Zhou; Pratap Tokekar GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning. (1%)Hanchi Ren; Jingjing Deng; Xianghua Xie Spinner: Automated Dynamic Command Subsystem Perturbation. (1%)Meng Wang; Chijung Jung; Ali Ahad; Yonghwi Kwon 2021-05-01 Adversarial Example Detection for DNN Models: A Review. (99%)Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Deforges A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation. (96%)Ruijie Yang; Yunhong Wang; Yuanfang Guo On the Adversarial Robustness of Quantized Neural Networks. (75%)Micah Gorsline; James Smith; Cory Merkel Hidden Backdoors in Human-Centric Language Models. (73%)Shaofeng Li; Hui Liu; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue; Haojin Zhu; Jialiang Lu One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. (62%)Shahroz Tariq; Sangyup Lee; Simon S. Woo A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification. (62%)Wei Guo; Benedetta Tondi; Mauro Barni Load Oscillating Attacks of Smart Grids: Demand Strategies and Vulnerability Analysis. (2%)Falah Alanazi; Jinsub Kim; Eduardo Cotilla-Sanchez RATT: Leveraging Unlabeled Data to Guarantee Generalization. (1%)Saurabh Garg; Sivaraman Balakrishnan; J. Zico Kolter; Zachary C. Lipton 2021-04-30 Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense. (99%)Haoxi Zhan; Xiaobing Pei Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. (99%)Jun-Ho Choi; Huan Zhang; Jun-Hyuk Kim; Cho-Jui Hsieh; Jong-Seok Lee Black-box adversarial attacks using Evolution Strategies. (98%)Hao Qiu; Leonardo Lucio Custode; Giovanni Iacca IPatch: A Remote Adversarial Patch. (97%)Yisroel Mirsky DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications. (10%)Siwei Wu; Dabao Wang; Jianting He; Yajin Zhou; Lei Wu; Xingliang Yuan; Qinming He; Kui Ren FIPAC: Thwarting Fault- and Software-Induced Control-Flow Attacks with ARM Pointer Authentication. (2%)Robert Schilling; Pascal Nasahl; Stefan Mangard 2021-04-29 GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. (67%)Haoyuan Chen; Chen Li; Xiaoyan Li; Ge Wang; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Yudong Yao; Yueyang Teng; Marcin Grzegorzek A neural anisotropic view of underspecification in deep learning. (26%)Guillermo Ortiz-Jimenez; Itamar Franco Salazar-Reque; Apostolos Modas; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard Analytical bounds on the local Lipschitz constants of ReLU networks. (12%)Trevor Avant; Kristi A. Morgansen Learning Robust Variational Information Bottleneck with Reference. (5%)Weizhu Qian; Bowei Chen; Xiaowei Huang 2021-04-28 AdvHaze: Adversarial Haze Attack. (99%)Ruijun Gao; Qing Guo; Felix Juefei-Xu; Hongkai Yu; Wei Feng 2021-04-27 Improved and Efficient Text Adversarial Attacks using Target Information. (97%)Mahmoud Hossam; Trung Le; He Zhao; Viet Huynh; Dinh Phung Metamorphic Detection of Repackaged Malware. (91%)Shirish Singh; Gail Kaiser Structure-Aware Hierarchical Graph Pooling using Information Bottleneck. (2%)Kashob Kumar Roy; Amit Roy; A K M Mahbubur Rahman; M Ashraful Amin; Amin Ahsan Ali Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. (1%)Mathias P. M. Parisot; Balazs Pejo; Dayana Spagnuelo 2021-04-26 Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. (99%)Pavlos Papadopoulos; Essen Oliver Thornewill von; Nikolaos Pitropakis; Christos Chrysoulas; Alexios Mylonas; William J. Buchanan Delving into Data: Effectively Substitute Training for Black-box Attack. (99%)Wenxuan Wang; Bangjie Yin; Taiping Yao; Li Zhang; Yanwei Fu; Shouhong Ding; Jilin Li; Feiyue Huang; Xiangyang Xue secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python. (99%)Luca Demetrio; Battista Biggio Impact of Spatial Frequency Based Constraints on Adversarial Robustness. (98%)Rémi Bernhard; Pierre-Alain Moellic; Martial Mermillod; Yannick Bourrier; Romain Cohendet; Miguel Solinas; Marina Reyboz PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. (87%)Chong Xiang; Prateek Mittal Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks. (22%)Sebastian Szyller; Vasisht Duddu; Tommi Gröndahl; N. Asokan 2021-04-25 3D Adversarial Attacks Beyond Point Cloud. (99%)Jinlai Zhang; Lyujie Chen; Binbin Liu; Bo Ouyang; Qizhi Xie; Jihong Zhu; Weiming Li; Yanmei Meng Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors. (80%)Xinwei Zhao; Matthew C. Stamm 2021-04-24 Influence Based Defense Against Data Poisoning Attacks in Online Learning. (99%)Sanjay Seetharaman; Shubham Malaviya; Rosni KV; Manish Shukla; Sachin Lodha 2021-04-23 Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. (92%)Zeyu Qin; Yanbo Fan; Hongyuan Zha; Baoyuan Wu Evaluating Deception Detection Model Robustness To Linguistic Variation. (82%)Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. (3%)Xin Dong; Junfeng Guo; Wei-Te Ting; H. T. Kung Improving Neural Silent Speech Interface Models by Adversarial Training. (1%)Amin Honarmandi Shandiz; László Tóth; Gábor Gosztolya; Alexandra Markó; Tamás Gábor Csapó 2021-04-22 Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. (99%)Qiming Wu; Zhikang Zou; Pan Zhou; Xiaoqing Ye; Binghui Wang; Ang Li Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. (98%)Arman Maesumi; Mingkang Zhu; Yi Wang; Tianlong Chen; Zhangyang Wang; Chandrajit Bajaj Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. (86%)Jing Wu; Mingyi Zhou; Ce Zhu; Yipeng Liu; Mehrtash Harandi; Li Li SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. (22%)Jonathan Hayase; Weihao Kong; Raghav Somani; Sewoong Oh 2021-04-21 Dual Head Adversarial Training. (99%)Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. (99%)Kaidi Xu; Chenan Wang; Xue Lin; Bhavya Kailkhura; Ryan Goldhahn Robust Certification for Laplace Learning on Geometric Graphs. (96%)Matthew Thorpe; Bao Wang Jacobian Regularization for Mitigating Universal Adversarial Perturbations. (95%)Kenneth T. Co; David Martinez Rego; Emil C. 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Karam 2020-11-23 Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack.Rui Shu; Tianpei Xia; Laurie Williams; Tim Menzies Augmented Lagrangian Adversarial Attacks.Jérôme Rony; Eric Granger; Marco Pedersoli; Ismail Ben Ayed 2020-11-22 Learnable Boundary Guided Adversarial Training.Jiequan Cui; Shu Liu; Liwei Wang; Jiaya Jia Nudge Attacks on Point-Cloud DNNs.Yiren Zhao; Ilia Shumailov; Robert Mullins; Ross Anderson 2020-11-21 Spatially Correlated Patterns in Adversarial Images.Nandish Chattopadhyay; Lionell Yip En Zhi; Bryan Tan Bing Xing; Anupam Chattopadhyay A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations.Can Bakiskan; Metehan Cekic; Ahmet Dundar Sezer; Upamanyu Madhow Robust Data Hiding Using Inverse Gradient Attention. (2%)Honglei Zhang; Hu Wang; Yuanzhouhan Cao; Chunhua Shen; Yidong Li 2020-11-20 Are Chess Discussions Racist? An Adversarial Hate Speech Data Set.Rupak Sarkar; Ashiqur R. KhudaBukhsh Detecting Universal Trigger's Adversarial Attack with Honeypot.Thai Le; Noseong Park; Dongwon Lee 2020-11-19 An Experimental Study of Semantic Continuity for Deep Learning Models.Shangxi Wu; Jitao Sang; Xian Zhao; Lizhang Chen Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams.Chawin Sitawarin; Evgenios M. 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Bobba 2020-11-17 FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances.Ali Shahin Shamsabadi; Francisco Sepúlveda Teixeira; Alberto Abad; Bhiksha Raj; Andrea Cavallaro; Isabel Trancoso SIENA: Stochastic Multi-Expert Neural Patcher.Thai Le; Noseong Park; Dongwon Lee Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification.Weitao Wan; Jiansheng Chen; Cheng Yu; Tong Wu; Yuanyi Zhong; Ming-Hsuan Yang Generating universal language adversarial examples by understanding and enhancing the transferability across neural models.Liping Yuan; Xiaoqing Zheng; Yi Zhou; Cho-Jui Hsieh; Kai-wei Chang; Xuanjing Huang Robustness and Generalization to Nearest Categories. (54%)Yao-Yuan Yang; Cyrus Rashtchian; Ruslan Salakhutdinov; Kamalika Chaudhuri 2020-11-16 MAAC: Novel Alert Correlation Method To Detect Multi-step Attack.Xiaoyu Wang; Lei Yu; Houhua He; Xiaorui Gong Enforcing robust control guarantees within neural network policies.Priya L. 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Livingstone Detecting Adversarial Patches with Class Conditional Reconstruction Networks.Perry Deng; Mohammad Saidur Rahman; Matthew Wright 2020-11-10 Efficient and Transferable Adversarial Examples from Bayesian Neural Networks.Martin Gubri; Maxime Cordy; Mike Papadakis; Yves Le Traon 2020-11-09 Solving Inverse Problems With Deep Neural Networks -- Robustness Included?Martin Genzel; Jan Macdonald; Maximilian März 2020-11-07 Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks.Alex Mathai; Shreya Khare; Srikanth Tamilselvam; Senthil Mani Bridging the Performance Gap between FGSM and PGD Adversarial Training.Tianjin Huang; Vlado Menkovski; Yulong Pei; Mykola Pechenizkiy 2020-11-06 Single-Node Attack for Fooling Graph Neural Networks.Ben Finkelshtein; Chaim Baskin; Evgenii Zheltonozhskii; Uri Alon A survey on practical adversarial examples for malware classifiers.Daniel Park; Bülent Yener 2020-11-05 A Black-Box Attack Model for Visually-Aware Recommender Systems.Rami Cohen; Oren Sar Shalom; Dietmar Jannach; Amihood Amir Data Augmentation via Structured Adversarial Perturbations.Calvin Luo; Hossein Mobahi; Samy Bengio Defense-friendly Images in Adversarial Attacks: Dataset and Metrics forPerturbation Difficulty.Camilo Pestana; Wei Liu; David Glance; Ajmal Mian Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks.Leo Schwinn; An Nguyen; René Raab; Dario Zanca; Bjoern Eskofier; Daniel Tenbrinck; Martin Burger 2020-11-03 You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning.Shitong Zhu; Shasha Li; Zhongjie Wang; Xun Chen; Zhiyun Qian; Srikanth V. 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Selcuk Uluagac Adversarial attacks on audio source separation.Naoya Takahashi; Shota Inoue; Yuki Mitsufuji 2020-10-06 Visualizing Color-wise Saliency of Black-Box Image Classification Models.Yuhki SenseTime Japan Hatakeyama; Hiroki SenseTime Japan Sakuma; Yoshinori SenseTime Japan Konishi; Kohei Kyoto University Suenaga Constraining Logits by Bounded Function for Adversarial Robustness.Sekitoshi Kanai; Masanori Yamada; Shin'ya Yamaguchi; Hiroshi Takahashi; Yasutoshi Ida Adversarial Patch Attacks on Monocular Depth Estimation Networks.Koichiro Yamanaka; Ryutaroh Matsumoto; Keita Takahashi; Toshiaki Fujii BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models.Ahmed Salem; Yannick Sautter; Michael Backes; Mathias Humbert; Yang Zhang 2020-10-05 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model.Xin Qiu; Risto Miikkulainen Adversarial Boot Camp: label free certified robustness in one epoch.Ryan Campbell; Chris Finlay; Adam M Oberman Understanding Classifier Mistakes with Generative Models.Laëtitia Shao; Yang Song; Stefano Ermon CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.Tianlu Wang; Xuezhi Wang; Yao Qin; Ben Packer; Kang Li; Jilin Chen; Alex Beutel; Ed Chi Second-Order NLP Adversarial Examples.John X. 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Chan Stronger and Faster Wasserstein Adversarial Attacks.Kaiwen Wu; Allen Houze Wang; Yaoliang Yu 2020-08-05 One word at a time: adversarial attacks on retrieval models.Nisarg Raval; Manisha Verma Robust Deep Reinforcement Learning through Adversarial Loss.Tuomas Oikarinen; Tsui-Wei Weng; Luca Daniel 2020-08-04 Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples.Xiaojun Jia; Xingxing Wei; Xiaochun Cao; Xiaoguang Han TREND: Transferability based Robust ENsemble Design.Deepak Ravikumar; Sangamesh Kodge; Isha Garg; Kaushik Roy Can Adversarial Weight Perturbations Inject Neural Backdoors?Siddhant Garg; Adarsh Kumar; Vibhor Goel; Yingyu Liang Entropy Guided Adversarial Model for Weakly Supervised Object Localization.Sabrina Narimene Benassou; Wuzhen Shi; Feng Jiang 2020-08-03 Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks.Haoqiang Guo; Lu Peng; Jian Zhang; Fang Qi; Lide Duan Anti-Bandit Neural Architecture Search for Model Defense.Hanlin Chen; Baochang Zhang; Song Xue; Xuan Gong; Hong Liu; Rongrong Ji; David Doermann 2020-08-01 Efficient Adversarial Attacks for Visual Object Tracking.Siyuan Liang; Xingxing Wei; Siyuan Yao; Xiaochun Cao Trojaning Language Models for Fun and Profit.Xinyang Zhang; Zheng Zhang; Shouling Ji; Ting Wang 2020-07-31 Vulnerability Under Adversarial Machine Learning: Bias or Variance?Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong Physical Adversarial Attack on Vehicle Detector in the Carla Simulator.Tong Wu; Xuefei Ning; Wenshuo Li; Ranran Huang; Huazhong Yang; Yu Wang Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers.Brian Kim; Yalin E. 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Choquette-Choo; Florian Tramer; Nicholas Carlini; Nicolas Papernot 2020-07-27 Attacking and Defending Machine Learning Applications of Public Cloud.Dou Goodman; Hao Xin KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation.En Yen Puang; Keng Peng Tee; Wei Jing From Sound Representation to Model Robustness.Mohamad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing.Yi Zhang; Jitao Sang 2020-07-26 RANDOM MASK: Towards Robust Convolutional Neural Networks.Tiange Luo; Tianle Cai; Mengxiao Zhang; Siyu Chen; Liwei Wang Robust Collective Classification against Structural Attacks.Kai Zhou; Yevgeniy Vorobeychik Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. (1%)Elizabeth Newman; Lars Ruthotto; Joseph Hart; Bart van Bloemen Waanders 2020-07-25 MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation.Jinnan Yan; Trung-Nghia Le; Khanh-Duy Nguyen; Minh-Triet Tran; Thanh-Toan Do; Tam V. Nguyen Adversarial Privacy-preserving Filter.Jiaming Zhang; Jitao Sang; Xian Zhao; Xiaowen Huang; Yanfeng Sun; Yongli Hu MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition.Iustina Andronic; Ludwig Kürzinger; Edgar Ricardo Chavez Rosas; Gerhard Rigoll; Bernhard U. Seeber 2020-07-23 Scalable Inference of Symbolic Adversarial Examples.Dimitar I. Dimitrov; Gagandeep Singh; Timon Gehr; Martin Vechev 2020-07-22 SOCRATES: Towards a Unified Platform for Neural Network Verification.Long H. 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Headley Generating Semantically Valid Adversarial Questions for TableQA.Yi Zhu; Menglin Xia; Yiwei Zhou 2020-05-25 Adversarial Feature Selection against Evasion Attacks.Fei Zhang; Patrick P. K. Chan; Battista Biggio; Daniel S. Yeung; Fabio Roli 2020-05-24 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification.Sina Däubener; Lea Schönherr; Asja Fischer; Dorothea Kolossa SoK: Arms Race in Adversarial Malware Detection.Deqiang Li; Qianmu Li; Yanfang Ye; Shouhuai Xu Adaptive Adversarial Logits Pairing.Shangxi Wu; Jitao Sang; Kaiyuan Xu; Guanhua Zheng; Changsheng Xu 2020-05-23 ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds.Kibok Lee; Zhuoyuan Chen; Xinchen Yan; Raquel Urtasun; Ersin Yumer Adversarial Attack on Hierarchical Graph Pooling Neural Networks.Haoteng Tang; Guixiang Ma; Yurong Chen; Lei Guo; Wei Wang; Bo Zeng; Liang Zhan Frontal Attack: Leaking Control-Flow in SGX via the CPU Frontend. 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Das Reevaluating Adversarial Examples in Natural Language.John X. Morris; Eli Lifland; Jack Lanchantin; Yangfeng Ji; Yanjun Qi 2020-04-23 Adversarial Machine Learning in Network Intrusion Detection Systems.Elie Alhajjar; Paul Maxwell; Nathaniel D. Bastian Adversarial Attacks and Defenses: An Interpretation Perspective.Ninghao Liu; Mengnan Du; Ruocheng Guo; Huan Liu; Xia Hu Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding.Patrick McClure; Dustin Moraczewski; Ka Chun Lam; Adam Thomas; Francisco Pereira On Adversarial Examples for Biomedical NLP Tasks.Vladimir Araujo; Andres Carvallo; Carlos Aspillaga; Denis Parra Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks.Jianhe Yuan; Zhihai He Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation.Marvin Klingner; Andreas Bär; Tim Fingscheidt RAIN: A Simple Approach for Robust and Accurate Image Classification Networks.Jiawei Du; Hanshu Yan; Vincent Y. F. Tan; Joey Tianyi Zhou; Rick Siow Mong Goh; Jiashi Feng 2020-04-22 CodNN -- Robust Neural Networks From Coded Classification.Netanel Andrew Raviv; Siddharth Andrew Jain; Pulakesh Andrew Upadhyaya; Jehoshua Andrew Bruck; Andrew Anxiao; Jiang Provably robust deep generative models.Filipe Condessa; Zico Kolter QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks.Priyadarshini Panda Adversarial examples and where to find them.Niklas Risse; Christina Göpfert; Jan Philip Göpfert 2020-04-21 Scalable Attack on Graph Data by Injecting Vicious Nodes.Jihong Wang; Minnan Luo; Fnu Suya; Jundong Li; Zijiang Yang; Qinghua Zheng Certifying Joint Adversarial Robustness for Model Ensembles.Mainuddin Ahmad Jonas; David Evans Probabilistic Safety for Bayesian Neural Networks.Matthew Wicker; Luca Laurenti; Andrea Patane; Marta Kwiatkowska BERT-ATTACK: Adversarial Attack Against BERT Using BERT.Linyang Li; Ruotian Ma; Qipeng Guo; Xiangyang Xue; Xipeng Qiu EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks.Sanchari Sen; Balaraman Ravindran; Anand Raghunathan 2020-04-20 GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples.Julia Lust; Alexandru Paul Condurache 2020-04-19 Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning.Hongcai Xu; Junpeng Bao; Gaojie Zhang Adversarial Training for Large Neural Language Models.Xiaodong Liu; Hao Cheng; Pengcheng He; Weizhu Chen; Yu Wang; Hoifung Poon; Jianfeng Gao Headless Horseman: Adversarial Attacks on Transfer Learning Models.Ahmed Abdelkader; Michael J. Curry; Liam Fowl; Tom Goldstein; Avi Schwarzschild; Manli Shu; Christoph Studer; Chen Zhu 2020-04-18 Protecting Classifiers From Attacks. A Bayesian Approach.Victor Gallego; Roi Naveiro; Alberto Redondo; David Rios Insua; Fabrizio Ruggeri Single-step Adversarial training with Dropout Scheduling.Vivek B. S.; R. Venkatesh Babu 2020-04-17 Adversarial Attack on Deep Learning-Based Splice Localization.Andras Rozsa; Zheng Zhong; Terrance E. Boult 2020-04-16 Shortcut Learning in Deep Neural Networks.Robert Geirhos; Jörn-Henrik Jacobsen; Claudio Michaelis; Richard Zemel; Wieland Brendel; Matthias Bethge; Felix A. Wichmann 2020-04-15 Targeted Attack for Deep Hashing based Retrieval.Jiawang Bai; Bin Chen; Yiming Li; Dongxian Wu; Weiwei Guo; Shu-tao Xia; En-hui Yang A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.Deqiang Li; Qianmu Li; Yanfang Ye; Shouhuai Xu Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers.Yusi Lei; Sen Chen; Lingling Fan; Fu Song; Yang Liu 2020-04-14 On the Optimal Interaction Range for Multi-Agent Systems Under Adversarial Attack.Saad J Saleh Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions.Jon Vadillo; Roberto Santana; Jose A. Lozano 2020-04-13 Adversarial Robustness Guarantees for Random Deep Neural Networks.Palma Giacomo De; Bobak T. Kiani; Seth Lloyd Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.Maximilian Mozes; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin Adversarial Weight Perturbation Helps Robust Generalization.Dongxian Wu; Shu-tao Xia; Yisen Wang Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension.Adyasha Maharana; Mohit Bansal Towards Robust Classification with Image Quality Assessment.Yeli Feng; Yiyu Cai Towards Transferable Adversarial Attack against Deep Face Recognition.Yaoyao Zhong; Weihong Deng 2020-04-12 PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning.Chenglin Yang; Adam Kortylewski; Cihang Xie; Yinzhi Cao; Alan Yuille 2020-04-11 Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images.Younghwan Na; Jun Hee Kim; Kyungsu Lee; Juhum Park; Jae Youn Hwang; Jihwan P. Choi Certified Adversarial Robustness for Deep Reinforcement Learning.Michael Everett; Bjorn Lutjens; Jonathan P. 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Gorban 2020-04-08 Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking.Hongjun Wang; Guangrun Wang; Ya Li; Dongyu Zhang; Liang Lin 2020-04-07 Towards Evaluating the Robustness of Chinese BERT Classifiers.Boxin Wang; Boyuan Pan; Xin Li; Bo Li Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios.Stefano Calzavara; Claudio Lucchese; Federico Marcuzzi; Salvatore Orlando Learning to fool the speaker recognition.Jiguo Li; Xinfeng Zhang; Jizheng Xu; Li Zhang; Yue Wang; Siwei Ma; Wen Gao Universal Adversarial Perturbations Generative Network for Speaker Recognition.Jiguo Li; Xinfeng Zhang; Chuanmin Jia; Jizheng Xu; Li Zhang; Yue Wang; Siwei Ma; Wen Gao 2020-04-05 Approximate Manifold Defense Against Multiple Adversarial Perturbations.Jay Nandy; Wynne Hsu; Mong Li Lee 2020-04-04 Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks.Zuowen Wang; Leo Horne BAE: BERT-based Adversarial Examples for Text Classification.Siddhant Garg; Goutham Ramakrishnan 2020-04-03 Adversarial Robustness through Regularization: A Second-Order Approach.Avery Ma; Fartash Faghri; Amir-massoud Farahmand 2020-04-01 Evading Deepfake-Image Detectors with White- and Black-Box Attacks.Nicholas Carlini; Hany Farid Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes.Sravanti Addepalli; Vivek B. 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Oliva Adversarial Attacks on Monocular Depth Estimation.Ziqi Zhang; Xinge Zhu; Yingwei Li; Xiangqun Chen; Yao Guo Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations.Saima Sharmin; Nitin Rathi; Priyadarshini Panda; Kaushik Roy Adversarial Perturbations Fool Deepfake Detectors.Apurva Gandhi; Shomik Jain 2020-03-22 Understanding the robustness of deep neural network classifiers for breast cancer screening.Witold Oleszkiewicz; Taro Makino; Stanisław Jastrzębski; Tomasz Trzciński; Linda Moy; Kyunghyun Cho; Laura Heacock; Krzysztof J. 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Karam 2020-03-10 SAD: Saliency-based Defenses Against Adversarial Examples.Richard Tran; David Patrick; Michael Geyer; Amanda Fernandez Using an ensemble color space model to tackle adversarial examples.Shreyank N Gowda; Chun Yuan Cryptanalytic Extraction of Neural Network Models.Nicholas Carlini; Matthew Jagielski; Ilya Mironov A Survey of Adversarial Learning on Graphs.Liang Chen; Jintang Li; Jiaying Peng; Tao Xie; Zengxu Cao; Kun Xu; Xiangnan He; Zibin Zheng 2020-03-09 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.Remi Tachet des Combes; Han Zhao; Yu-Xiang Wang; Geoff Gordon Towards Probabilistic Verification of Machine Unlearning.David Marco Sommer; Liwei Song; Sameer Wagh; Prateek Mittal Manifold Regularization for Locally Stable Deep Neural Networks.Charles Jin; Martin Rinard Generating Natural Language Adversarial Examples on a Large Scale with Generative Models.Yankun Ren; Jianbin Lin; Siliang Tang; Jun Zhou; Shuang Yang; Yuan Qi; Xiang Ren Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world.Ivan Fursov; Alexey Zaytsev; Nikita Kluchnikov; Andrey Kravchenko; Evgeny Burnaev 2020-03-08 Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM.Rui Zhang; Quanyan Zhu An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.Sanghyuk Chun; Seong Joon Oh; Sangdoo Yun; Dongyoon Han; Junsuk Choe; Youngjoon Yoo On the Robustness of Cooperative Multi-Agent Reinforcement Learning.Jieyu Lin; Kristina Dzeparoska; Sai Qian Zhang; Alberto Leon-Garcia; Nicolas Papernot Adversarial Attacks on Probabilistic Autoregressive Forecasting Models.Raphaël Dang-Nhu; Gagandeep Singh; Pavol Bielik; Martin Vechev Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles.Ranjie Duan; Xingjun Ma; Yisen Wang; James Bailey; A. 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Roos Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space.Camilo Pestana; Naveed Akhtar; Wei Liu; David Glance; Ajmal Mian Towards Rapid and Robust Adversarial Training with One-Step Attacks.Leo Schwinn; René Raab; Björn Eskofier Precise Tradeoffs in Adversarial Training for Linear Regression.Adel Javanmard; Mahdi Soltanolkotabi; Hamed Hassani HYDRA: Pruning Adversarially Robust Neural Networks.Vikash Sehwag; Shiqi Wang; Prateek Mittal; Suman Jana 2020-02-23 Adversarial Attack on DL-based Massive MIMO CSI Feedback.Qing Liu; Jiajia Guo; Chao-Kai Wen; Shi Jin Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.Ting-Kuei Hu; Tianlong Chen; Haotao Wang; Zhangyang Wang 2020-02-22 VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems.Yiannis Kantaros; Taylor Carpenter; Sangdon Park; Radoslav Ivanov; Sooyong Jang; Insup Lee; James Weimer Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks.Kirthi Shankar Sivamani; Rajeev Sahay; Aly El Gamal Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition.Ziwen He; Wei Wang; Jing Dong; Tieniu Tan Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples.Guanxiong Liu; Issa Khalil; Abdallah Khreishah 2020-02-21 Polarizing Front Ends for Robust CNNs.Can Bakiskan; Soorya Gopalakrishnan; Metehan Cekic; Upamanyu Madhow; Ramtin Pedarsani Robustness from Simple Classifiers.Sharon Qian; Dimitris Kalimeris; Gal Kaplun; Yaron Singer Adversarial Detection and Correction by Matching Prediction Distributions.Giovanni Vacanti; Looveren Arnaud Van UnMask: Adversarial Detection and Defense Through Robust Feature Alignment.Scott Freitas; Shang-Tse Chen; Zijie J. 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Patel; Tom Goldstein 2020-02-20 Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning.Chao-Han Huck Yang; Jun Qi; Pin-Yu Chen; Yi Ouyang; I-Te Danny Hung; Chin-Hui Lee; Xiaoli Ma On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.Motasem Alfarra; Adel Bibi; Hasan Hammoud; Mohamed Gaafar; Bernard Ghanem A Bayes-Optimal View on Adversarial Examples.Eitan Richardson; Yair Weiss Towards Certifiable Adversarial Sample Detection.Ilia Shumailov; Yiren Zhao; Robert Mullins; Ross Anderson Boosting Adversarial Training with Hypersphere Embedding.Tianyu Pang; Xiao Yang; Yinpeng Dong; Kun Xu; Hang Su; Jun Zhu 2020-02-19 Bayes-TrEx: Model Transparency by Example.Serena Booth; Yilun Zhou; Ankit Shah; Julie Shah AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks.Xiao Wang; Siyue Wang; Pin-Yu Chen; Xue Lin; Peter Chin NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion.Aritran Piplai; Sai Sree Laya Chukkapalli; Anupam Joshi On Adaptive Attacks to Adversarial Example Defenses.Florian Tramer; Nicholas Carlini; Wieland Brendel; Aleksander Madry Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks.Tsubasa Takahashi Randomized Smoothing of All Shapes and Sizes.Greg Yang; Tony Duan; J. Edward Hu; Hadi Salman; Ilya Razenshteyn; Jerry Li 2020-02-18 Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense.Guanlin Liu; Lifeng lai Deflecting Adversarial Attacks.Yao Qin; Nicholas Frosst; Colin Raffel; Garrison Cottrell; Geoffrey Hinton Block Switching: A Stochastic Approach for Deep Learning Security.Xiao Wang; Siyue Wang; Pin-Yu Chen; Xue Lin; Peter Chin Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent.Pu Zhao; Pin-Yu Chen; Siyue Wang; Xue Lin 2020-02-17 TensorShield: Tensor-based Defense Against Adversarial Attacks on Images.Negin Entezari; Evangelos E. Papalexakis On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples.Pamela K. Douglas; Farzad Vasheghani Farahani Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification.Ryan Feng; Jiefeng Chen; Nelson Manohar; Earlence Fernandes; Somesh Jha; Atul Prakash Scalable Quantitative Verification For Deep Neural Networks.Teodora Baluta; Zheng Leong Chua; Kuldeep S. Meel; Prateek Saxena CAT: Customized Adversarial Training for Improved Robustness.Minhao Cheng; Qi Lei; Pin-Yu Chen; Inderjit Dhillon; Cho-Jui Hsieh On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks.Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; Naoto Hayashi; Osamu Abe Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack.Ziwei Guan; Kaiyi Ji; Donald J Jr Bucci; Timothy Y Hu; Joseph Palombo; Michael Liston; Yingbin Liang Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness.Huijie Feng; Chunpeng Wu; Guoyang Chen; Weifeng Zhang; Yang Ning 2020-02-16 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality.Yi Zhang; Orestis Plevrakis; Simon S. Du; Xingguo Li; Zhao Song; Sanjeev Arora 2020-02-15 Undersensitivity in Neural Reading Comprehension.Johannes Welbl; Pasquale Minervini; Max Bartolo; Pontus Stenetorp; Sebastian Riedel Hold me tight! 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Collins; Michael McCarrick Adversarial Data Encryption.Yingdong Hu; Liang Zhang; Wei Shan; Xiaoxiao Qin; Jing Qi; Zhenzhou Wu; Yang Yuan Generalised Lipschitz Regularisation Equals Distributional Robustness.Zac Cranko; Zhan Shi; Xinhua Zhang; Richard Nock; Simon Kornblith 2020-02-09 MDEA: Malware Detection with Evolutionary Adversarial Learning.Xiruo Wang; Risto Miikkulainen Input Validation for Neural Networks via Runtime Local Robustness Verification.Jiangchao Liu; Liqian Chen; Antoine Mine; Ji Wang Robust binary classification with the 01 loss.Yunzhe Xue; Meiyan Xie; Usman Roshan Watch out! Motion is Blurring the Vision of Your Deep Neural Networks.Qing Guo; Felix Juefei-Xu; Xiaofei Xie; Lei Ma; Jian Wang; Bing Yu; Wei Feng; Yang Liu Feature-level Malware Obfuscation in Deep Learning.Keith Dillon Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples.Paarth Neekhara; Shehzeen Hussain; Malhar Jere; Farinaz Koushanfar; Julian McAuley Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.Quanyu Liao; Xin Wang; Bin Kong; Siwei Lyu; Youbing Yin; Qi Song; Xi Wu Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing.Jinyuan Jia; Binghui Wang; Xiaoyu Cao; Neil Zhenqiang Gong Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images.Avrim Blum; Travis Dick; Naren Manoj; Hongyang Zhang 2020-02-08 Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks.Lu Chen; Wei Xu Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness.Aounon Kumar; Alexander Levine; Tom Goldstein; Soheil Feizi 2020-02-07 Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness.Ting-Wu Chin; Cha Zhang; Diana Marculescu Semantic Robustness of Models of Source Code.Goutham Ramakrishnan; Jordan Henkel; Zi Wang; Aws Albarghouthi; Somesh Jha; Thomas Reps Analysis of Random Perturbations for Robust Convolutional Neural Networks.Adam Dziedzic; Sanjay Krishnan RAID: Randomized Adversarial-Input Detection for Neural Networks.Hasan Ferit Eniser; Maria Christakis; Valentin Wüstholz Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.Meet P. Vadera; Satya Narayan Shukla; Brian Jalaian; Benjamin M. Marlin 2020-02-06 Reliability Validation of Learning Enabled Vehicle Tracking.Youcheng Sun; Yifan Zhou; Simon Maskell; James Sharp; Xiaowei Huang An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models.Yao Deng; Xi Zheng; Tianyi Zhang; Chen Chen; Guannan Lou; Miryung Kim AI-GAN: Attack-Inspired Generation of Adversarial Examples.Tao Bai; Jun Zhao; Jinlin Zhu; Shoudong Han; Jiefeng Chen; Bo Li; Alex Kot 2020-02-05 Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels.Brian Kim; Yalin E. Sagduyu; Kemal Davaslioglu; Tugba Erpek; Sennur Ulukus Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study.David Mickisch; Felix Assion; Florens Greßner; Wiebke Günther; Mariele Motta 2020-02-04 Adversarially Robust Frame Sampling with Bounded Irregularities.Hanhan Li; Pin Wang Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria.Qi Xuan; Yalu Shan; Jinhuan Wang; Zhongyuan Ruan; Guanrong Chen Minimax Defense against Gradient-based Adversarial Attacks.Blerta Lindqvist; Rauf Izmailov 2020-02-03 A Differentiable Color Filter for Generating Unrestricted Adversarial Images.Zhengyu Zhao; Zhuoran Liu; Martha Larson Regularizers for Single-step Adversarial Training.B. S. Vivek; R. Venkatesh Babu Defending Adversarial Attacks via Semantic Feature Manipulation.Shuo Wang; Tianle Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler; Shangyu Chen 2020-02-02 Robust saliency maps with decoy-enhanced saliency score.Yang Lu; Wenbo Guo; Xinyu Xing; William Stafford Noble 2020-02-01 Towards Sharper First-Order Adversary with Quantized Gradients.Zhuanghua Liu; Ivor W. Tsang AdvJND: Generating Adversarial Examples with Just Noticeable Difference.Zifei Zhang; Kai Qiao; Lingyun Jiang; Linyuan Wang; Bin Yan 2020-01-31 Additive Tree Ensembles: Reasoning About Potential Instances.Laurens Devos; Wannes Meert; Jesse Davis Politics of Adversarial Machine Learning.Kendra Albert; Jonathon Penney; Bruce Schneier; Ram Shankar Siva Kumar FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications.Dou Goodman; Lv Zhonghou; Wang minghua 2020-01-30 Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything.Xiao Zhang; Dongrui Wu; Lieyun Ding; Hanbin Luo; Chin-Teng Lin; Tzyy-Ping Jung; Ricardo Chavarriaga 2020-01-29 A4 : Evading Learning-based Adblockers.Shitong Zhu; Zhongjie Wang; Xun Chen; Shasha Li; Umar Iqbal; Zhiyun Qian; Kevin S. Chan; Srikanth V. 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Yarman Vural Semantic Adversarial Perturbations using Learnt Representations.Isaac Dunn; Tom Melham; Daniel Kroening Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain.Yigit Alparslan; Ken Alparslan; Jeremy Keim-Shenk; Shweta Khade; Rachel Greenstadt 2020-01-28 Modelling and Quantifying Membership Information Leakage in Machine Learning.Farhad Farokhi; Mohamed Ali Kaafar 2020-01-27 Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis.William Briguglio; Sherif Saad Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN.Jean-Christophe OBELIX Burnel; Kilian OBELIX Fatras; Nicolas OBELIX Courty FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles.Yihao Huang; Felix Juefei-Xu; Run Wang; Xiaofei Xie; Lei Ma; Jianwen Li; Weikai Miao; Yang Liu; Geguang Pu Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning.Inaam Ilahi; Muhammad Usama; Junaid Qadir; Muhammad Umar Janjua; Ala Al-Fuqaha; Dinh Thai Hoang; Dusit Niyato Practical Fast Gradient Sign Attack against Mammographic Image Classifier.Ibrahim Yilmaz 2020-01-26 Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks.Rehana Mahfuz; Rajeev Sahay; Aly El Gamal 2020-01-25 Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles.Yilan Li; Senem Velipasalar AI-Powered GUI Attack and Its Defensive Methods.Ning Yu; Zachary Tuttle; Carl Jake Thurnau; Emmanuel Mireku Analyzing the Noise Robustness of Deep Neural Networks.Kelei Cao; Mengchen Liu; Hang Su; Jing Wu; Jun Zhu; Shixia Liu 2020-01-24 When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions.Yalin E. Sagduyu; Yi Shi; Tugba Erpek; William Headley; Bryse Flowers; George Stantchev; Zhuo Lu 2020-01-23 Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack.Bo Zhang; Ruotong Yu; Haipei Sun; Yanying Li; Jun Xu; Hui Wang Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples.Ya-guan Qian; Xi-Ming Zhang; Bin Wang; Wei Li; Jian-Hai Chen; Wu-Jie Zhou; Jing-Sheng Lei On the human evaluation of audio adversarial examples.Jon Vadillo; Roberto Santana 2020-01-22 Adversarial Attack on Community Detection by Hiding Individuals.Jia Li; Honglei Zhang; Zhichao Han; Yu Rong; Hong Cheng; Junzhou Huang 2020-01-21 SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation.Jesse Sun; Fatemeh Darbeha; Mark Zaidi; Bo Wang Secure and Robust Machine Learning for Healthcare: A Survey.Adnan Qayyum; Junaid Qadir; Muhammad Bilal; Ala Al-Fuqaha FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.Kihyuk Sohn; David Berthelot; Chun-Liang Li; Zizhao Zhang; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Han Zhang; Colin Raffel GhostImage: Perception Domain Attacks against Vision-based Object Classification Systems.Yanmao Man; Ming Li; Ryan Gerdes Generate High-Resolution Adversarial Samples by Identifying Effective Features.Sizhe Chen; Peidong Zhang; Chengjin Sun; Jia Cai; Xiaolin Huang Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.Nilaksh Polo Das; Haekyu Polo Park; Zijie J. Polo Wang; Fred Polo Hohman; Robert Polo Firstman; Emily Polo Rogers; Duen Polo Horng; Chau Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP.Ying Xu; Xu Zhong; Antonio Jose Jimeno Yepes; Jey Han Lau 2020-01-17 Cyber Attack Detection thanks to Machine Learning Algorithms.Antoine Delplace; Sheryl Hermoso; Kristofer Anandita 2020-01-16 Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks.Farnaz Behnia; Ali Mirzaeian; Mohammad Sabokrou; Sai Manoj; Tinoosh Mohsenin; Khaled N. 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Whatmough 2020-01-13 Advbox: a toolbox to generate adversarial examples that fool neural networks.Dou Goodman; Hao Xin; Wang Yang; Wu Yuesheng; Xiong Junfeng; Zhang Huan 2020-01-12 Membership Inference Attacks Against Object Detection Models.Yeachan Park; Myungjoo Kang An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs.Joseph D. Janizek; Gabriel Erion; Alex J. DeGrave; Su-In Lee Fast is better than free: Revisiting adversarial training.Eric Wong; Leslie Rice; J. Zico Kolter 2020-01-11 Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses.Kashyap Coimbatore Murali Sparse Black-box Video Attack with Reinforcement Learning.Huanqian Yan; Xingxing Wei; Bo Li 2020-01-10 ReluDiff: Differential Verification of Deep Neural Networks.Brandon Paulsen; Jingbo Wang; Chao Wang Guess First to Enable Better Compression and Adversarial Robustness.Sicheng Zhu; Bang An; Shiyu Niu 2020-01-08 To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers.Bijeeta Pal; Shruti Tople MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius.Runtian Zhai; Chen Dan; Di He; Huan Zhang; Boqing Gong; Pradeep Ravikumar; Cho-Jui Hsieh; Liwei Wang Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service.Dou Goodman 2020-01-07 Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring.Sibylle Hess; Wouter Duivesteijn; Decebal Mocanu 2020-01-06 Generating Semantic Adversarial Examples via Feature Manipulation.Shuo Wang; Shangyu Chen; Tianle Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations.Lin Wang; Wonjune Cho; Kuk-Jin Yoon 2020-01-05 The Human Visual System and Adversarial AI.Yaoshiang Ho; Samuel Wookey 2020-01-02 Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier.Xin Wang 2020-01-01 Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient.Ling Liang; Xing Hu; Lei Deng; Yujie Wu; Guoqi Li; Yufei Ding; Peng Li; Yuan Xie Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks.Ying Meng; Jianhai Su; Jason O'Kane; Pooyan Jamshidi 2019-12-31 Automated Testing for Deep Learning Systems with Differential Behavior Criteria.Yuan Gao; Yiqiang Han Protecting GANs against privacy attacks by preventing overfitting.Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Juan Lavista Ferres Erase and Restore: Simple, Accurate and Resilient Detection of $L_2$ Adversarial Examples.Fei Zuo; Qiang Zeng Quantum Adversarial Machine Learning.Sirui Lu; Lu-Ming Duan; Dong-Ling Deng 2019-12-30 Adversarial Example Generation using Evolutionary Multi-objective Optimization.Takahiro Suzuki; Shingo Takeshita; Satoshi Ono Defending from adversarial examples with a two-stream architecture.Hao Ge; Xiaoguang Tu; Mei Xie; Zheng Ma 2019-12-28 Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices.Chandramouli Shama Sastry; Sageev Oore Search Based Repair of Deep Neural Networks.Jeongju Sohn; Sungmin Kang; Shin Yoo 2019-12-26 Benchmarking Adversarial Robustness.Yinpeng Dong; Qi-An Fu; Xiao Yang; Tianyu Pang; Hang Su; Zihao Xiao; Jun Zhu Efficient Adversarial Training with Transferable Adversarial Examples.Haizhong Zheng; Ziqi Zhang; Juncheng Gu; Honglak Lee; Atul Prakash 2019-12-24 Attack-Resistant Federated Learning with Residual-based Reweighting.Shuhao Fu; Chulin Xie; Bo Li; Qifeng Chen Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid.Zhenyong Zhang; Ruilong Deng; Member; IEEE; David K. Y. Yau; Senior Member; IEEE; Peng Cheng; Member; IEEE; Jiming Chen; Fellow; IEEE Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer.Hongyan Chang; Virat Shejwalkar; Reza Shokri; Amir Houmansadr Characterizing the Decision Boundary of Deep Neural Networks.Hamid Karimi; Tyler Derr; Jiliang Tang 2019-12-23 White Noise Analysis of Neural Networks.Ali Borji; Sikun Lin Adversarial AutoAugment.Xinyu Zhang; Qiang Wang; Jian Zhang; Zhao Zhong Geometry-aware Generation of Adversarial and Cooperative Point Clouds.Yuxin Wen; Jiehong Lin; Ke Chen; Kui Jia 2019-12-21 T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack.Boxin Wang; Hengzhi Pei; Boyuan Pan; Qian Chen; Shuohang Wang; Bo Li 2019-12-20 Measuring Dataset Granularity.Yin Cui; Zeqi Gu; Dhruv Mahajan; der Maaten Laurens van; Serge Belongie; Ser-Nam Lim Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing.Jinyuan Jia; Xiaoyu Cao; Binghui Wang; Neil Zhenqiang Gong secml: A Python Library for Secure and Explainable Machine Learning.Marco Melis; Ambra Demontis; Maura Pintor; Angelo Sotgiu; Battista Biggio Jacobian Adversarially Regularized Networks for Robustness.Alvin Chan; Yi Tay; Yew Soon Ong; Jie Fu Explainability and Adversarial Robustness for RNNs.Alexander Hartl; Maximilian Bachl; Joachim Fabini; Tanja Zseby Adversarial symmetric GANs: bridging adversarial samples and adversarial networks.Faqiang Liu; Mingkun Xu; Guoqi Li; Jing Pei; Luping Shi; Rong Zhao 2019-12-19 Does Symbolic Knowledge Prevent Adversarial Fooling?Stefano Teso A New Ensemble Method for Concessively Targeted Multi-model Attack.Ziwen He; Wei Wang; Xinsheng Xuan; Jing Dong; Tieniu Tan Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples).Woohyung Chun; Sung-Min Hong; Junho Huh; Inyup Kang Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection.Mahmood Sharif; Keane Lucas; Lujo Bauer; Michael K. Reiter; Saurabh Shintre $n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers.Mahmood Sharif; Lujo Bauer; Michael K. Reiter Towards Verifying Robustness of Neural Networks Against Semantic Perturbations.Jeet Lily Mohapatra; Lily Tsui-Wei; Weng; Pin-Yu Chen; Sijia Liu; Luca Daniel Perturbations on the Perceptual Ball.Andrew Elliott; Stephen Law; Chris Russell 2019-12-18 Identifying Adversarial Sentences by Analyzing Text Complexity.Hoang-Quoc Nguyen-Son; Tran Phuong Thao; Seira Hidano; Shinsaku Kiyomoto An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation.Jihan Yang; Ruijia Xu; Ruiyu Li; Xiaojuan Qi; Xiaoyong Shen; Guanbin Li; Liang Lin Adversarial VC-dimension and Sample Complexity of Neural Networks.Zetong Qi; T. J. Wilder SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks.Simon Msika; Alejandro Quintero; Foutse Khomh Detecting Adversarial Attacks On Audio-Visual Speech Recognition.Pingchuan Ma; Stavros Petridis; Maja Pantic 2019-12-17 APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection.A. Braunegg; Amartya Chakraborty; Michael Krumdick; Nicole Lape; Sara Leary; Keith Manville; Elizabeth Merkhofer; Laura Strickhart; Matthew Walmer 2019-12-16 CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator.Huy Phan; Yi Xie; Siyu Liao; Jie Chen; Bo Yuan MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Timo Bremer On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration.Kanil Patel; William Beluch; Dan Zhang; Michael Pfeiffer; Bin Yang Constructing a provably adversarially-robust classifier from a high accuracy one.Grzegorz Głuch; Rüdiger Urbanke 2019-12-15 DAmageNet: A Universal Adversarial Dataset.Sizhe Chen; Xiaolin Huang; Zhengbao He; Chengjin Sun 2019-12-14 What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance.Mahmoud Afifi; Michael S Brown Towards Robust Toxic Content Classification.Keita Kurita; Anna Belova; Antonios Anastasopoulos 2019-12-13 Potential adversarial samples for white-box attacks.Amir Nazemi; Paul Fieguth 2019-12-11 Learning to Model Aspects of Hearing Perception Using Neural Loss Functions.Prateek Verma; Jonathan Berger Gabor Layers Enhance Network Robustness.Juan C. Pérez; Motasem Alfarra; Guillaume Jeanneret; Adel Bibi; Ali Thabet; Bernard Ghanem; Pablo Arbeláez An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks.Moein Hasani; Amin Nasim Saravi; Hassan Khotanlou Detecting and Correcting Adversarial Images Using Image Processing Operations and Convolutional Neural Networks.Huy H. Nguyen; Minoru Kuribayashi; Junichi Yamagishi; Isao Echizen What it Thinks is Important is Important: Robustness Transfers through Input Gradients.Alvin Chan; Yi Tay; Yew-Soon Ong 2019-12-10 Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples.Behzad Asadi; Vijay Varadharajan Training Provably Robust Models by Polyhedral Envelope Regularization.Chen Liu; Mathieu Salzmann; Sabine Süsstrunk Appending Adversarial Frames for Universal Video Attack.Zhikai Chen; Lingxi Xie; Shanmin Pang; Yong He; Qi Tian Statistically Robust Neural Network Classification. (22%)Benjie Wang; Stefan Webb; Tom Rainforth 2019-12-09 Feature Losses for Adversarial Robustness.Kirthi Shankar Sivamani 2019-12-08 Hardening Random Forest Cyber Detectors Against Adversarial Attacks.Giovanni Apruzzese; Mauro Andreolini; Michele Colajanni; Mirco Marchetti Amora: Black-box Adversarial Morphing Attack.Run Wang; Felix Juefei-Xu; Xiaofei Xie; Lei Ma; Yihao Huang; Yang Liu 2019-12-07 Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks.Yi Xiang Marcus Tan; Yuval Elovici; Alexander Binder 2019-12-06 Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations.Sven Gowal; Chongli Qin; Po-Sen Huang; Taylan Cemgil; Krishnamurthy Dvijotham; Timothy Mann; Pushmeet Kohli Principal Component Properties of Adversarial Samples.Malhar Jere; Sandro Herbig; Christine Lind; Farinaz Koushanfar Training Deep Neural Networks for Interpretability and Adversarial Robustness.Adam Noack; Isaac Ahern; Dejing Dou; Boyang Li 2019-12-05 Detection of Face Recognition Adversarial Attacks.Fabio Valerio Massoli; Fabio Carrara; Giuseppe Amato; Fabrizio Falchi The Search for Sparse, Robust Neural Networks.Justin Cosentino; Federico Zaiter; Dan Pei; Jun Zhu Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples.Bo Luo; Qiang Xu 2019-12-04 Learning with Multiplicative Perturbations.Xiulong Yang; Shihao Ji A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks.Prithviraj Dasgupta; Joseph B. 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An Evolution-based Adversarial Attack against Neural Networks.Malhar Jere; Briland Hitaj; Gabriela Ciocarlie; Farinaz Koushanfar 2019-12-03 A Survey of Black-Box Adversarial Attacks on Computer Vision Models.Siddhant Bhambri; Sumanyu Muku; Avinash Tulasi; Arun Balaji Buduru FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks.Mahum Naseer; Mishal Fatima Minhas; Faiq Khalid; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 2019-12-02 Cost-Aware Robust Tree Ensembles for Security Applications.Yizheng Chen; Shiqi Wang; Weifan Jiang; Asaf Cidon; Suman Jana Deep Neural Network Fingerprinting by Conferrable Adversarial Examples.Nils Lukas; Yuxuan Zhang; Florian Kerschbaum Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs.Zihan Liu; Xiao Zhang; Lubin Meng; Dongrui Wu 2019-12-01 Adversary A3C for Robust Reinforcement Learning.Zhaoyuan Gu; Zhenzhong Jia; Howie Choset A Method for Computing Class-wise Universal Adversarial Perturbations.Tejus Gupta; Abhishek Sinha; Nupur Kumari; Mayank Singh; Balaji Krishnamurthy AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds.Abdullah Hamdi; Sara Rojas; Ali Thabet; Bernard Ghanem 2019-11-30 Design and Interpretation of Universal Adversarial Patches in Face Detection.Xiao Yang; Fangyun Wei; Hongyang Zhang; Jun Zhu Error-Correcting Neural Network.Yang Song; Qiyu Kang; Wee Peng Tay 2019-11-29 Square Attack: a query-efficient black-box adversarial attack via random search.Maksym Andriushchenko; Francesco Croce; Nicolas Flammarion; Matthias Hein 2019-11-28 Towards Privacy and Security of Deep Learning Systems: A Survey.Yingzhe He; Guozhu Meng; Kai Chen; Xingbo Hu; Jinwen He 2019-11-26 Survey of Attacks and Defenses on Edge-Deployed Neural Networks.Mihailo Isakov; Vijay Gadepally; Karen M. Gettings; Michel A. Kinsy An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense.Chao Tang; Yifei Fan; Anthony Yezzi Can Attention Masks Improve Adversarial Robustness?Pratik Vaishnavi; Tianji Cong; Kevin Eykholt; Atul Prakash; Amir Rahmati Defending Against Adversarial Machine Learning.Alison Jenkins Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting.Weizhe Liu; Mathieu Salzmann; Pascal Fua 2019-11-25 Playing it Safe: Adversarial Robustness with an Abstain Option.Cassidy Laidlaw; Soheil Feizi ColorFool: Semantic Adversarial Colorization.Ali Shahin Shamsabadi; Ricardo Sanchez-Matilla; Andrea Cavallaro Adversarial Attack with Pattern Replacement.Ziang Dong; Liang Mao; Shiliang Sun One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples.Chang Xiao; Changxi Zheng 2019-11-24 When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks.Minghao Guo; Yuzhe Yang; Rui Xu; Ziwei Liu; Dahua Lin Time-aware Gradient Attack on Dynamic Network Link Prediction.Jinyin Chen; Jian Zhang; Zhi Chen; Min Du; Feifei Li; Qi Xuan 2019-11-23 Robust Assessment of Real-World Adversarial Examples.Brett Jefferson; Carlos Ortiz Marrero Universal Adversarial Robustness of Texture and Shape-Biased Models.Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu 2019-11-22 Bounding Singular Values of Convolution Layers.Sahil Singla; Soheil Feizi Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction.Yantao Lu; Yunhan Jia; Jianyu Wang; Bai Li; Weiheng Chai; Lawrence Carin; Senem Velipasalar Attack Agnostic Statistical Method for Adversarial Detection.Sambuddha Saha; Aashish Kumar; Pratyush Sahay; George Jose; Srinivas Kruthiventi; Harikrishna Muralidhara Universal adversarial examples in speech command classification.Jon Vadillo; Roberto Santana Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference.Wei-An Lin; Yogesh Balaji; Pouya Samangouei; Rama Chellappa 2019-11-21 Heuristic Black-box Adversarial Attacks on Video Recognition Models.Zhipeng Wei; Jingjing Chen; Xingxing Wei; Linxi Jiang; Tat-Seng Chua; Fengfeng Zhou; Yu-Gang Jiang Adversarial Examples Improve Image Recognition.Cihang Xie; Mingxing Tan; Boqing Gong; Jiang Wang; Alan Yuille; Quoc V. Le 2019-11-20 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation.Alexander Levine; Soheil Feizi Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method.Junjie Hu; Takayuki Okatani Fine-grained Synthesis of Unrestricted Adversarial Examples.Omid Poursaeed; Tianxing Jiang; Harry Yang; Serge Belongie; Ser-Nam Lim Deep Minimax Probability Machine.Lirong He; Ziyi Guo; Kaizhu Huang; Zenglin Xu 2019-11-19 Logic-inspired Deep Neural Networks.Minh Le Where is the Bottleneck of Adversarial Learning with Unlabeled Data?Jingfeng Zhang; Bo Han; Gang Niu; Tongliang Liu; Masashi Sugiyama Adversarial Robustness of Flow-Based Generative Models.Phillip Pope; Yogesh Balaji; Soheil Feizi Defective Convolutional Layers Learn Robust CNNs.Tiange Luo; Tianle Cai; Mengxiao Zhang; Siyu Chen; Di He; Liwei Wang Generate (non-software) Bugs to Fool Classifiers.Hiromu Yakura; Youhei Akimoto; Jun Sakuma 2019-11-18 A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories.Zhaohui Che; Ali Borji; Guangtao Zhai; Suiyi Ling; Jing Li; Patrick Le Callet A novel method for identifying the deep neural network model with the Serial Number.XiangRui Xu; YaQin Li; Cao Yuan Adversarial Attacks on Grid Events Classification: An Adversarial Machine Learning Approach.Iman Niazazari; Hanif Livani WITCHcraft: Efficient PGD attacks with random step size.Ping-Yeh Chiang; Jonas Geiping; Micah Goldblum; Tom Goldstein; Renkun Ni; Steven Reich; Ali Shafahi Deep Detector Health Management under Adversarial Campaigns.Javier Echauz; Keith Kenemer; Sarfaraz Hussein; Jay Dhaliwal; Saurabh Shintre; Slawomir Grzonkowski; Andrew Gardner 2019-11-17 Countering Inconsistent Labelling by Google's Vision API for Rotated Images.Aman Apte; Aritra Bandyopadhyay; K Akhilesh Shenoy; Jason Peter Andrews; Aditya Rathod; Manish Agnihotri; Aditya Jajodia Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.Tong Che; Xiaofeng Liu; Site Li; Yubin Ge; Ruixiang Zhang; Caiming Xiong; Yoshua Bengio Smoothed Inference for Adversarially-Trained Models.Yaniv Nemcovsky; Evgenii Zheltonozhskii; Chaim Baskin; Brian Chmiel; Maxim Fishman; Alex M. Bronstein; Avi Mendelson 2019-11-16 SMART: Skeletal Motion Action Recognition aTtack.He Wang; Feixiang He; Zexi Peng; Yongliang Yang; Tianjia Shao; Kun Zhou; David Hogg Suspicion-Free Adversarial Attacks on Clustering Algorithms.Anshuman Chhabra; Abhishek Roy; Prasant Mohapatra Black-Box Adversarial Attack with Transferable Model-based Embedding.Zhichao Huang; Tong Zhang Defensive Few-shot Adversarial Learning.Wenbin Li; Lei Wang; Xingxing Zhang; Jing Huo; Yang Gao; Jiebo Luo 2019-11-15 Learning To Characterize Adversarial Subspaces.Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Yuan He; Hui Xue On Model Robustness Against Adversarial Examples.Shufei Zhang; Kaizhu Huang; Zenglin Xu Simple iterative method for generating targeted universal adversarial perturbations.Hokuto Hirano; Kazuhiro Takemoto AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients.Xiaodan Li; Yuefeng Chen; Yuan He; Hui Xue 2019-11-14 Adversarial Embedding: A robust and elusive Steganography and Watermarking technique.Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon Self-supervised Adversarial Training.Kejiang Chen; Hang Zhou; Yuefeng Chen; Xiaofeng Mao; Yuhong Li; Yuan He; Hui Xue; Weiming Zhang; Nenghai Yu DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers.Isaac Corley; Jonathan Lwowski; Justin Hoffman CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems.Pengcheng Zhang; Qiyin Dai; Patrizio Pelliccione 2019-11-13 There is Limited Correlation between Coverage and Robustness for Deep Neural Networks.Yizhen Dong; Peixin Zhang; Jingyi Wang; Shuang Liu; Jun Sun; Jianye Hao; Xinyu Wang; Li Wang; Jin Song Dong; Dai Ting Adversarial Margin Maximization Networks.Ziang Yan; Yiwen Guo; Changshui Zhang 2019-11-12 Improving Robustness of Task Oriented Dialog Systems.Arash Einolghozati; Sonal Gupta; Mrinal Mohit; Rushin Shah On Robustness to Adversarial Examples and Polynomial Optimization.Pranjal Awasthi; Abhratanu Dutta; Aravindan Vijayaraghavan Adversarial Examples in Modern Machine Learning: A Review.Rey Reza Wiyatno; Anqi Xu; Ousmane Dia; Berker Archy de 2019-11-11 Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN.Feng Chen; Yunkai Shang; Bo Xu; Jincheng Hu RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems.Jianmin Guo; Yue Zhao; Quan Zhang; Yu Jiang Learning From Brains How to Regularize Machines.Zhe Li; Wieland Brendel; Edgar Y. Walker; Erick Cobos; Taliah Muhammad; Jacob Reimer; Matthias Bethge; Fabian H. Sinz; Xaq Pitkow; Andreas S. Tolias Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory.Arash Rahnama; Andre T. Nguyen; Edward Raff CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images.Shunquan Tan; Weilong Wu; Zilong Shao; Qiushi Li; Bin Li; Jiwu Huang GraphDefense: Towards Robust Graph Convolutional Networks.Xiaoyun Wang; Xuanqing Liu; Cho-Jui Hsieh 2019-11-09 A Reinforced Generation of Adversarial Samples for Neural Machine Translation.Wei Zou; Shujian Huang; Jun Xie; Xinyu Dai; Jiajun Chen Improving Machine Reading Comprehension via Adversarial Training.Ziqing Yang; Yiming Cui; Wanxiang Che; Ting Liu; Shijin Wang; Guoping Hu Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples.Marc Khoury Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.Xinghua Qu; Zhu Sun; Yew-Soon Ong; Abhishek Gupta; Pengfei Wei 2019-11-08 Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks.Giulio Zizzo; Chris Hankin; Sergio Maffeis; Kevin Jones Patch augmentation: Towards efficient decision boundaries for neural networks.Marcus D. Bloice; Andreas Holzinger Domain Robustness in Neural Machine Translation.Mathias Müller; Annette Rios; Rico Sennrich Adversarial Attacks on GMM i-vector based Speaker Verification Systems.Xu Li; Jinghua Zhong; Xixin Wu; Jianwei Yu; Xunying Liu; Helen Meng Imperceptible Adversarial Attacks on Tabular Data.Vincent Ballet; Xavier Renard; Jonathan Aigrain; Thibault Laugel; Pascal Frossard; Marcin Detyniecki 2019-11-07 White-Box Target Attack for EEG-Based BCI Regression Problems.Lubin Meng; Chin-Teng Lin; Tzyy-Ring Jung; Dongrui Wu Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces.Xue Jiang; Xiao Zhang; Dongrui Wu 2019-11-06 Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance.Zhengyu Zhao; Zhuoran Liu; Martha Larson Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods.Dylan Slack; Sophie Hilgard; Emily Jia; Sameer Singh; Himabindu Lakkaraju The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey.Olakunle Ibitoye; Rana Abou-Khamis; Ashraf Matrawy; M. Omair Shafiq Reversible Adversarial Example based on Reversible Image Transformation.Zhaoxia Yin; Hua Wang; Weiming Zhang 2019-11-05 Adversarial Enhancement for Community Detection in Complex Networks.Jiajun Zhou; Zhi Chen; Min Du; Lihong Chen; Shanqing Yu; Feifei Li; Guanrong Chen; Qi Xuan DLA: Dense-Layer-Analysis for Adversarial Example Detection.Philip Sperl; Ching-Yu Kao; Peng Chen; Konstantin Böttinger Intriguing Properties of Adversarial ML Attacks in the Problem Space.Fabio Pierazzi; Feargus Pendlebury; Jacopo Cortellazzi; Lorenzo Cavallaro Coverage Guided Testing for Recurrent Neural Networks.Wei Huang; Youcheng Sun; Xingyu Zhao; James Sharp; Wenjie Ruan; Jie Meng; Xiaowei Huang 2019-11-04 Persistency of Excitation for Robustness of Neural Networks.Kamil Nar; S. Shankar Sastry Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors.Jiazhu Dai; Le Shu A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models.Ren Pang; Hua Shen; Xinyang Zhang; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Alex Liu; Ting Wang 2019-11-03 Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.Guangke Chen; Sen Chen; Lingling Fan; Xiaoning Du; Zhe Zhao; Fu Song; Yang Liu MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks.Shai Rozenberg; Gal Elidan; Ran El-Yaniv 2019-11-02 Automatic Detection of Generated Text is Easiest when Humans are Fooled.Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck Security of Facial Forensics Models Against Adversarial Attacks.Rong Huang; Fuming Fang; Huy H. Nguyen; Junichi Yamagishi; Isao Echizen 2019-10-31 Enhancing Certifiable Robustness via a Deep Model Ensemble.Huan Zhang; Minhao Cheng; Cho-Jui Hsieh Certifiable Robustness to Graph Perturbations.Aleksandar Bojchevski; Stephan Günnemann Adversarial Music: Real World Audio Adversary Against Wake-word Detection System.Juncheng B. Li; Shuhui Qu; Xinjian Li; Joseph Szurley; J. Zico Kolter; Florian Metze 2019-10-30 Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization.Rana Abou Khamis; Omair Shafiq; Ashraf Matrawy Beyond Universal Person Re-ID Attack.Wenjie Ding; Xing Wei; Rongrong Ji; Xiaopeng Hong; Qi Tian; Yihong Gong 2019-10-29 Adversarial Example in Remote Sensing Image Recognition.Li Chen; Guowei Zhu; Qi Li; Haifeng Li 2019-10-28 Active Subspace of Neural Networks: Structural Analysis and Universal Attacks.Chunfeng Cui; Kaiqi Zhang; Talgat Daulbaev; Julia Gusak; Ivan Oseledets; Zheng Zhang Certified Adversarial Robustness for Deep Reinforcement Learning.Björn Lütjens; Michael Everett; Jonathan P. How 2019-10-27 Word-level Textual Adversarial Attacking as Combinatorial Optimization.Yuan Zang; Fanchao Qi; Chenghao Yang; Zhiyuan Liu; Meng Zhang; Qun Liu; Maosong Sun EdgeFool: An Adversarial Image Enhancement Filter.Ali Shahin Shamsabadi; Changjae Oh; Andrea Cavallaro Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks.Ya-guan Qian; Dan-feng Ma; Bin Wang; Jun Pan; Jia-min Wang; Jian-hai Chen; Wu-jie Zhou; Jing-sheng Lei 2019-10-26 Detection of Adversarial Attacks and Characterization of Adversarial Subspace.Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Understanding and Quantifying Adversarial Examples Existence in Linear Classification.Xupeng Shi; A. Adam Ding Adversarial Defense Via Local Flatness Regularization.Jia Xu; Yiming Li; Yong Jiang; Shu-Tao Xia 2019-10-25 Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples.Mauro Barni; Ehsan Nowroozi; Benedetta Tondi; Bowen Zhang MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation.Panagiotis Linardos; Suzanne Little; Kevin McGuinness Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?Ali Shafahi; Amin Ghiasi; Furong Huang; Tom Goldstein 2019-10-24 ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries.Xingxing Zhang; Shupeng Gui; Zhenfeng Zhu; Yao Zhao; Ji Liu 2019-10-23 A Useful Taxonomy for Adversarial Robustness of Neural Networks.Leslie N. Smith Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks.Alexander Levine; Soheil Feizi 2019-10-22 Attacking Optical Flow.Anurag Ranjan; Joel Janai; Andreas Geiger; Michael J. 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Lipton Spatial-aware Online Adversarial Perturbations Against Visual Object Tracking.Qing Guo; Xiaofei Xie; Lei Ma; Zhongguo Li; Wei Feng; Yang Liu A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning.Yasaman Esfandiari; Aditya Balu; Keivan Ebrahimi; Umesh Vaidya; Nicola Elia; Soumik Sarkar 2019-10-17 Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets.Yogesh Balaji; Tom Goldstein; Judy Hoffman Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation.Anindya Sarkar; Nikhil Kumar Gupta; Raghu Iyengar LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications.Zirui Xu; Fuxun Yu; Xiang Chen Adversarial T-shirt! 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Weinberger 2019-10-15 Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation.Anindya Sarkar; Anirudh Sunder Raj; Raghu Sesha Iyengar Understanding Misclassifications by Attributes.Sadaf Gulshad; Zeynep Akata; Jan Hendrik Metzen; Arnold Smeulders Adversarial Examples for Models of Code.Noam Yefet; Uri Alon; Eran Yahav On adversarial patches: real-world attack on ArcFace-100 face recognition system.Mikhail Pautov; Grigorii Melnikov; Edgar Kaziakhmedov; Klim Kireev; Aleksandr Petiushko 2019-10-14 DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks.Fuyuan Zhang; Sankalan Pal Chowdhury; Maria Christakis Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks.David Stutz; Matthias Hein; Bernt Schiele ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.Xiangyi Chen; Sijia Liu; Kaidi Xu; Xingguo Li; Xue Lin; Mingyi Hong; David Cox Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models.Derek Derui; Wang; Chaoran Li; Sheng Wen; Surya Nepal; Yang Xiang Real-world adversarial attack on MTCNN face detection system.Edgar Kaziakhmedov; Klim Kireev; Grigorii Melnikov; Mikhail Pautov; Aleksandr Petiushko 2019-10-12 On Robustness of Neural Ordinary Differential Equations.Hanshu Yan; Jiawei Du; Vincent Y. 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Tan; Jiashi Feng 2019-10-11 Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems.Hadi Abdullah; Muhammad Sajidur Rahman; Washington Garcia; Logan Blue; Kevin Warren; Anurag Swarnim Yadav; Tom Shrimpton; Patrick Traynor Verification of Neural Networks: Specifying Global Robustness using Generative Models.Nathanaël Fijalkow; Mohit Kumar Gupta 2019-10-10 Universal Adversarial Perturbation for Text Classification.Hang Gao; Tim Oates Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation.Theodoros Tsiligkaridis 2019-10-09 Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing.Rizhao Cai; Changsheng Chen Adversarial Learning of Deepfakes in Accounting.Marco Schreyer; Timur Sattarov; Bernd Reimer; Damian Borth Deep Latent Defence.Giulio Zizzo; Chris Hankin; Sergio Maffeis; Kevin Jones Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system.Shixian Wen; Laurent Itti 2019-10-08 Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications.Matteo Terzi; Gian Antonio Susto; Pratik Chaudhari SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations.Ali Dabouei; Sobhan Soleymani; Fariborz Taherkhani; Jeremy Dawson; Nasser M. Nasrabadi 2019-10-07 Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork.Yulong Wang; Xiaolin Hu; Hang Su 2019-10-05 Unrestricted Adversarial Attacks for Semantic Segmentation.Guangyu Shen; Chengzhi Mao; Junfeng Yang; Baishakhi Ray Yet another but more efficient black-box adversarial attack: tiling and evolution strategies.Laurent Meunier; Jamal Atif; Olivier Teytaud 2019-10-04 Requirements for Developing Robust Neural Networks.John S. Hyatt; Michael S. Lee Adversarial Examples for Cost-Sensitive Classifiers.Gavin S. Hartnett; Andrew J. Lohn; Alexander P. Sedlack 2019-10-03 Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.He Zhao; Trung Le; Paul Montague; Vel Olivier De; Tamas Abraham; Dinh Phung BUZz: BUffer Zones for defending adversarial examples in image classification.Kaleel Mahmood; Phuong Ha Nguyen; Lam M. Nguyen; Thanh Nguyen; Dijk Marten van Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications.Andreas Venzke; Spyros Chatzivasileiadis 2019-10-02 Attacking Vision-based Perception in End-to-End Autonomous Driving Models.Adith Boloor; Karthik Garimella; Xin He; Christopher Gill; Yevgeniy Vorobeychik; Xuan Zhang Adversarially Robust Few-Shot Learning: A Meta-Learning Approach.Micah Goldblum; Liam Fowl; Tom Goldstein 2019-10-01 Boosting Image Recognition with Non-differentiable Constraints.Xuan Li; Yuchen Lu; Peng Xu; Jizong Peng; Christian Desrosiers; Xue Liu Generating Semantic Adversarial Examples with Differentiable Rendering.Lakshya Jain; Wilson Wu; Steven Chen; Uyeong Jang; Varun Chandrasekaran; Sanjit Seshia; Somesh Jha Attacking CNN-based anti-spoofing face authentication in the physical domain.Bowen Zhang; Benedetta Tondi; Mauro Barni An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.Yang Zhang; Shiyu Chang; Mo Yu; Kaizhi Qian Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.Wenqi Wei; Ling Liu; Margaret Loper; Ka-Ho Chow; Emre Gursoy; Stacey Truex; Yanzhao Wu Deep Neural Rejection against Adversarial Examples.Angelo Sotgiu; Ambra Demontis; Marco Melis; Battista Biggio; Giorgio Fumera; Xiaoyi Feng; Fabio Roli 2019-09-30 Black-box Adversarial Attacks with Bayesian Optimization.Satya Narayan Shukla; Anit Kumar Sahu; Devin Willmott; J. Zico Kolter Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.Sijia Liu; Songtao Lu; Xiangyi Chen; Yao Feng; Kaidi Xu; Abdullah Al-Dujaili; Minyi Hong; Una-May O'Reilly Role of Spatial Context in Adversarial Robustness for Object Detection.Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash 2019-09-29 Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems.Utku Kose 2019-09-27 Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest.Indu Ilanchezian; Praneeth Vepakomma; Abhishek Singh; Otkrist Gupta; G. N. Srinivasa Prasanna; Ramesh Raskar Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks.Rémi Bernhard; Pierre-Alain Moellic; Jean-Max Dutertre 2019-09-26 Towards Understanding the Transferability of Deep Representations.Hong Liu; Mingsheng Long; Jianmin Wang; Michael I. Jordan Adversarial Machine Learning Attack on Modulation Classification.Muhammad Usama; Muhammad Asim; Junaid Qadir; Ala Al-Fuqaha; Muhammad Ali Imran Adversarial ML Attack on Self Organizing Cellular Networks.Salah-ud-din Farooq; Muhammad Usama; Junaid Qadir; Muhammad Ali Imran Towards neural networks that provably know when they don't know.Alexander Meinke; Matthias Hein Lower Bounds on Adversarial Robustness from Optimal Transport.Arjun Nitin Bhagoji; Daniel Cullina; Prateek Mittal 2019-09-25 Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection.Nilesh A. Ahuja; Ibrahima Ndiour; Trushant Kalyanpur; Omesh Tickoo Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.Tianyu Pang; Kun Xu; Jun Zhu FreeLB: Enhanced Adversarial Training for Natural Language Understanding.Chen Zhu; Yu Cheng; Zhe Gan; Siqi Sun; Tom Goldstein; Jingjing Liu 2019-09-24 A Visual Analytics Framework for Adversarial Text Generation.Brandon Laughlin; Christopher Collins; Karthik Sankaranarayanan; Khalil El-Khatib Intelligent image synthesis to attack a segmentation CNN using adversarial learning.Liang Chen; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.Minhao Cheng; Simranjit Singh; Patrick Chen; Pin-Yu Chen; Sijia Liu; Cho-Jui Hsieh Matrix Sketching for Secure Collaborative Machine Learning. (1%)Mengjiao Zhang; Shusen Wang 2019-09-23 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.Jinyuan Jia; Ahmed Salem; Michael Backes; Yang Zhang; Neil Zhenqiang Gong Robust Local Features for Improving the Generalization of Adversarial Training.Chuanbiao Song; Kun He; Jiadong Lin; Liwei Wang; John E. Hopcroft FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments.Alesia Chernikova; Alina Oprea 2019-09-22 HAWKEYE: Adversarial Example Detector for Deep Neural Networks.Jinkyu Koo; Michael Roth; Saurabh Bagchi Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.Guoliang Dong; Jingyi Wang; Jun Sun; Yang Zhang; Xinyu Wang; Ting Dai; Jin Song Dong; Xingen Wang 2019-09-20 Adversarial Learning with Margin-based Triplet Embedding Regularization.Yaoyao Zhong; Weihong Deng COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection.Aminollah Khormali; Ahmed Abusnaina; Songqing Chen; DaeHun Nyang; Aziz Mohaisen Defending Against Physically Realizable Attacks on Image Classification.Tong Wu; Liang Tong; Yevgeniy Vorobeychik 2019-09-19 Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation.Jihyeun Yoon; Kyungyul Kim; Jongseong Jang Adversarial Vulnerability Bounds for Gaussian Process Classification.Michael Thomas Smith; Kathrin Grosse; Michael Backes; Mauricio A Alvarez Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks.Sekitoshi Kanai; Yasutoshi Ida; Yasuhiro Fujiwara; Masanori Yamada; Shuichi Adachi Toward Robust Image Classification.Basemah Alshemali; Alta Graham; Jugal Kalita Training Robust Deep Neural Networks via Adversarial Noise Propagation.Aishan Liu; Xianglong Liu; Chongzhi Zhang; Hang Yu; Qiang Liu; Dacheng Tao 2019-09-17 Adversarial Attacks and Defenses in Images, Graphs and Text: A Review.Han Xu; Yao Ma; Haochen Liu; Debayan Deb; Hui Liu; Jiliang Tang; Anil Jain Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model.Prashanth Vijayaraghavan; Deb Roy Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.Jinyuan Jia; Neil Zhenqiang Gong 2019-09-16 They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization.Rayan Mosli; Matthew Wright; Bo Yuan; Yin Pan HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples.Wanting Yu; Hongyi Yu; Lingyun Jiang; Mengli Zhang; Kai Qiao; Linyuan Wang; Bin Yan Towards Quality Assurance of Software Product Lines with Adversarial Configurations.Paul Temple; Mathieu Acher; Gilles Perrouin; Battista Biggio; Jean-marc Jezequel; Fabio Roli Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.Chongzhi Zhang; Aishan Liu; Xianglong Liu; Yitao Xu; Hang Yu; Yuqing Ma; Tianlin Li 2019-09-15 An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms.Qianyu Guo; Sen Chen; Xiaofei Xie; Lei Ma; Qiang Hu; Hongtao Liu; Yang Liu; Jianjun Zhao; Xiaohong Li Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors.Gilad Cohen; Guillermo Sapiro; Raja Giryes 2019-09-14 Natural Language Adversarial Attacks and Defenses in Word Level.Xiaosen Wang; Hao Jin; Kun He 2019-09-13 Adversarial Attack on Skeleton-based Human Action Recognition.Jian Liu; Naveed Akhtar; Ajmal Mian Say What I Want: Towards the Dark Side of Neural Dialogue Models.Haochen Liu; Tyler Derr; Zitao Liu; Jiliang Tang White-Box Adversarial Defense via Self-Supervised Data Estimation.Zudi Lin; Hanspeter Pfister; Ziming Zhang Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix.Chaomin Shen; Yaxin Peng; Guixu Zhang; Jinsong Fan 2019-09-12 Inspecting adversarial examples using the Fisher information.Jörg Martin; Clemens Elster An Empirical Investigation of Randomized Defenses against Adversarial Attacks.Yannik Potdevin; Dirk Nowotka; Vijay Ganesh Transferable Adversarial Robustness using Adversarially Trained Autoencoders.Pratik Vaishnavi; Kevin Eykholt; Atul Prakash; Amir Rahmati 2019-09-11 Feedback Learning for Improving the Robustness of Neural Networks.Chang Song; Zuoguan Wang; Hai Li Sparse and Imperceivable Adversarial Attacks.Francesco Croce; Matthias Hein 2019-09-10 Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification.Eitan Rothberg; Tingting Chen; Luo Jie; Hao Ji Identifying and Resisting Adversarial Videos Using Temporal Consistency.Xiaojun Jia; Xingxing Wei; Xiaochun Cao Effectiveness of Adversarial Examples and Defenses for Malware Classification.Robert Podschwadt; Hassan Takabi Towards Noise-Robust Neural Networks via Progressive Adversarial Training.Hang Yu; Aishan Liu; Xianglong Liu; Jichen Yang; Chongzhi Zhang UPC: Learning Universal Physical Camouflage Attacks on Object Detectors.Lifeng Huang; Chengying Gao; Yuyin Zhou; Changqing Zou; Cihang Xie; Alan Yuille; Ning Liu FDA: Feature Disruptive Attack.Aditya Ganeshan; B. S. Vivek; R. Venkatesh Babu Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection.Byunggill Joe; Sung Ju Hwang; Insik Shin Toward Finding The Global Optimal of Adversarial Examples.Zhenxin Xiao; Kai-Wei Chang; Cho-Jui Hsieh 2019-09-09 Adversarial Robustness Against the Union of Multiple Perturbation Models.Pratyush Maini; Eric Wong; J. Zico Kolter DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. (1%)Ang Li; Jiayi Guo; Huanrui Yang; Flora D. Salim; Yiran Chen 2019-09-08 STA: Adversarial Attacks on Siamese Trackers.Xugang Wu; Xiaoping Wang; Xu Zhou; Songlei Jian When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures.Gil Fidel; Ron Bitton; Asaf Shabtai 2019-09-06 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.Yichao Zhou; Jyun-Yu Jiang; Kai-Wei Chang; Wei Wang Natural Adversarial Sentence Generation with Gradient-based Perturbation.Yu-Lun Hsieh; Minhao Cheng; Da-Cheng Juan; Wei Wei; Wen-Lian Hsu; Cho-Jui Hsieh Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.Yiren Zhao; Ilia Shumailov; Han Cui; Xitong Gao; Robert Mullins; Ross Anderson 2019-09-05 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.Xian Yeow Lee; Sambit Ghadai; Kai Liang Tan; Chinmay Hegde; Soumik Sarkar Adversarial Examples with Difficult Common Words for Paraphrase Identification.Zhouxing Shi; Minlie Huang; Ting Yao; Jingfang Xu 2019-09-04 Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?Alfred Laugros; Alice Caplier; Matthieu Ospici 2019-09-03 Certified Robustness to Adversarial Word Substitutions.Robin Jia; Aditi Raghunathan; Kerem Göksel; Percy Liang Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation.Po-Sen Huang; Robert Stanforth; Johannes Welbl; Chris Dyer; Dani Yogatama; Sven Gowal; Krishnamurthy Dvijotham; Pushmeet Kohli 2019-09-02 Metric Learning for Adversarial Robustness.Chengzhi Mao; Ziyuan Zhong; Junfeng Yang; Carl Vondrick; Baishakhi Ray 2019-08-29 Adversarial Training Methods for Network Embedding.Quanyu Dai; Xiao Shen; Liang Zhang; Qiang Li; Dan Wang Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness.Ling Liu; Wenqi Wei; Ka-Ho Chow; Margaret Loper; Emre Gursoy; Stacey Truex; Yanzhao Wu Defending Against Misclassification Attacks in Transfer Learning.Bang Wu; Xiangwen Yang; Shuo Wang; Xingliang Yuan; Cong Wang; Carsten Rudolph Universal, transferable and targeted adversarial attacks.Junde Wu; Rao Fu 2019-08-26 A Statistical Defense Approach for Detecting Adversarial Examples.Alessandro Cennamo; Ido Freeman; Anton Kummert Gated Convolutional Networks with Hybrid Connectivity for Image Classification.Chuanguang Yang; Zhulin An; Hui Zhu; Xiaolong Hu; Kun Zhang; Kaiqiang Xu; Chao Li; Yongjun Xu 2019-08-25 Adversarial Edit Attacks for Tree Data.Benjamin Paaßen advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns.Zhibo Wang; Siyan Zheng; Mengkai Song; Qian Wang; Alireza Rahimpour; Hairong Qi 2019-08-24 Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower.Giorgos Tolias; Filip Radenovic; Ond{ř}ej Chum 2019-08-23 Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.Dou Goodman; Xingjian Li; Jun Huan; Tao Wei AdvHat: Real-world adversarial attack on ArcFace Face ID system.Stepan Komkov; Aleksandr Petiushko 2019-08-22 Saliency Methods for Explaining Adversarial Attacks.Jindong Gu; Volker Tresp 2019-08-21 Testing Robustness Against Unforeseen Adversaries.Daniel Kang; Yi Sun; Dan Hendrycks; Tom Brown; Jacob Steinhardt Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples.Marcus Soll; Tobias Hinz; Sven Magg; Stefan Wermter 2019-08-20 Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks.Ka-Ho Chow; Wenqi Wei; Yanzhao Wu; Ling Liu Transferring Robustness for Graph Neural Network Against Poisoning Attacks.Xianfeng Tang; Yandong Li; Yiwei Sun; Huaxiu Yao; Prasenjit Mitra; Suhang Wang 2019-08-19 Universal Adversarial Triggers for NLP.Eric Wallace; Shi Feng; Nikhil Kandpal; Matt Gardner; Sameer Singh Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.Xiao Wang; Siyue Wang; Pin-Yu Chen; Yanzhi Wang; Brian Kulis; Xue Lin; Peter Chin Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries.Fnu Suya; Jianfeng Chi; David Evans; Yuan Tian 2019-08-18 On the Robustness of Human Pose Estimation.Sahil Shah; Naman Jain; Abhishek Sharma; Arjun Jain Adversarial Defense by Suppressing High-frequency Components.Zhendong Zhang; Cheolkon Jung; Xiaolong Liang 2019-08-17 Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation.Yuh-Shyang Wang; Tsui-Wei Weng; Luca Daniel Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.Jiadong Lin; Chuanbiao Song; Kun He; Liwei Wang; John E. Hopcroft 2019-08-16 Adversarial point perturbations on 3D objects.Daniel Liu; Ronald Yu; Hao Su 2019-08-14 Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once.Jiangfan Han; Xiaoyi Dong; Ruimao Zhang; Dongdong Chen; Weiming Zhang; Nenghai Yu; Ping Luo; Xiaogang Wang AdvFaces: Adversarial Face Synthesis.Debayan Deb; Jianbang Zhang; Anil K. Jain DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation.Seungju Cho; Tae Joon Jun; Byungsoo Oh; Daeyoung Kim 2019-08-12 On Defending Against Label Flipping Attacks on Malware Detection Systems.Rahim Taheri; Reza Javidan; Mohammad Shojafar; Zahra Pooranian; Ali Miri; Mauro Conti Adversarial Neural Pruning with Latent Vulnerability Suppression.Divyam Madaan; Jinwoo Shin; Sung Ju Hwang 2019-08-09 On the Adversarial Robustness of Neural Networks without Weight Transport.Mohamed Akrout 2019-08-08 Defending Against Adversarial Iris Examples Using Wavelet Decomposition.Sobhan Soleymani; Ali Dabouei; Jeremy Dawson; Nasser M. Nasrabadi Universal Adversarial Audio Perturbations.Sajjad Abdoli; Luiz G. Hafemann; Jerome Rony; Ismail Ben Ayed; Patrick Cardinal; Alessandro L. Koerich 2019-08-07 Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations.Andras Rozsa; Terrance E. Boult Investigating Decision Boundaries of Trained Neural Networks.Roozbeh Yousefzadeh; Dianne P O'Leary 2019-08-06 Explaining Deep Neural Networks Using Spectrum-Based Fault Localization.Youcheng Sun; Hana Chockler; Xiaowei Huang; Daniel Kroening MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks.Chen Ma; Chenxu Zhao; Hailin Shi; Li Chen; Junhai Yong; Dan Zeng BlurNet: Defense by Filtering the Feature Maps.Ravi Raju; Mikko Lipasti 2019-08-05 Random Directional Attack for Fooling Deep Neural Networks.Wenjian Luo; Chenwang Wu; Nan Zhou; Li Ni Adversarial Self-Defense for Cycle-Consistent GANs.Dina Bashkirova; Ben Usman; Kate Saenko Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve.Dang Duy Thang; Toshihiro Matsui A principled approach for generating adversarial images under non-smooth dissimilarity metrics.Aram-Alexandre Pooladian; Chris Finlay; Tim Hoheisel; Adam Oberman Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems.Lea Schönherr; Thorsten Eisenhofer; Steffen Zeiler; Thorsten Holz; Dorothea Kolossa 2019-08-04 A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models.Heng Chang; Yu Rong; Tingyang Xu; Wenbing Huang; Honglei Zhang; Peng Cui; Wenwu Zhu; Junzhou Huang 2019-08-03 Exploring the Robustness of NMT Systems to Nonsensical Inputs.Akshay Chaturvedi; Abijith KP; Utpal Garain 2019-08-02 AdvGAN++ : Harnessing latent layers for adversary generation.Puneet Mangla; Surgan Jandial; Sakshi Varshney; Vineeth N Balasubramanian 2019-08-01 Black-box Adversarial ML Attack on Modulation Classification.Muhammad Usama; Junaid Qadir; Ala Al-Fuqaha Robustifying deep networks for image segmentation.Zheng Liu; Jinnian Zhang; Varun Jog; Po-Ling Loh; Alan B McMillan 2019-07-31 Adversarial Robustness Curves.Christina Göpfert; Jan Philip Göpfert; Barbara Hammer Optimal Attacks on Reinforcement Learning Policies.Alessio Russo; Alexandre Proutiere 2019-07-30 Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.Utku Ozbulak; Messem Arnout Van; Neve Wesley De Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.Utku Ozbulak; Messem Arnout Van; Neve Wesley De 2019-07-28 Are Odds Really Odd? 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Hospedales 2019-07-12 Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN.Guoping Zhao; Mingyu Zhang; Jiajun Liu; Ji-Rong Wen Stateful Detection of Black-Box Adversarial Attacks.Steven Chen; Nicholas Carlini; David Wagner Generative Modeling by Estimating Gradients of the Data Distribution.Yang Song; Stefano Ermon 2019-07-11 Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn.Ziv Katzir; Yuval Elovici Adversarial Objects Against LiDAR-Based Autonomous Driving Systems.Yulong Cao; Chaowei Xiao; Dawei Yang; Jing Fang; Ruigang Yang; Mingyan Liu; Bo Li 2019-07-10 Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations.Rohan Reddy Mekala; Gudjon Einar Magnusson; Adam Porter; Mikael Lindvall; Madeline Diep 2019-07-09 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving.Zelun Kong; Junfeng Guo; Ang Li; Cong Liu 2019-07-06 Affine Disentangled GAN for Interpretable and Robust AV Perception.Letao Liu; Martin Saerbeck; Justin Dauwels 2019-07-05 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.Yao Qin; Nicholas Frosst; Sara Sabour; Colin Raffel; Garrison Cottrell; Geoffrey Hinton 2019-07-04 Adversarial Robustness through Local Linearization.Chongli Qin; James Martens; Sven Gowal; Dilip Krishnan; Krishnamurthy Dvijotham; Alhussein Fawzi; Soham De; Robert Stanforth; Pushmeet Kohli Adversarial Attacks in Sound Event Classification.Vinod Subramanian; Emmanouil Benetos; Ning Xu; SKoT McDonald; Mark Sandler 2019-07-03 Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior.Thomas Gittings; Steve Schneider; John Collomosse Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack.Francesco Croce; Matthias Hein 2019-07-02 Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA.Moshe Kravchik; Asaf Shabtai Treant: Training Evasion-Aware Decision Trees.Stefano Calzavara; Claudio Lucchese; Gabriele Tolomei; Seyum Assefa Abebe; Salvatore Orlando 2019-07-01 Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network".Roland S. Zimmermann Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation.Nader Asadi; AmirMohammad Sarfi; Sahba Tahsini; Mahdi Eftekhari Accurate, reliable and fast robustness evaluation.Wieland Brendel; Jonas Rauber; Matthias Kümmerer; Ivan Ustyuzhaninov; Matthias Bethge 2019-06-30 Fooling a Real Car with Adversarial Traffic Signs.Nir Morgulis; Alexander Kreines; Shachar Mendelowitz; Yuval Weisglass 2019-06-28 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty.Dan Hendrycks; Mantas Mazeika; Saurav Kadavath; Dawn Song Certifiable Robustness and Robust Training for Graph Convolutional Networks.Daniel Zügner; Stephan Günnemann Learning to Cope with Adversarial Attacks.Xian Yeow Lee; Aaron Havens; Girish Chowdhary; Soumik Sarkar Robustness Guarantees for Deep Neural Networks on Videos.Min Wu; Marta Kwiatkowska 2019-06-27 Using Intuition from Empirical Properties to Simplify Adversarial Training Defense.Guanxiong Liu; Issa Khalil; Abdallah Khreishah Adversarial Robustness via Label-Smoothing.Morgane Goibert; Elvis Dohmatob Evolving Robust Neural Architectures to Defend from Adversarial Attacks.Shashank Kotyan; Danilo Vasconcellos Vargas 2019-06-26 The Adversarial Robustness of Sampling.Omri Ben-Eliezer; Eylon Yogev Defending Adversarial Attacks by Correcting logits.Yifeng Li; Lingxi Xie; Ya Zhang; Rui Zhang; Yanfeng Wang; Qi Tian 2019-06-25 Quantitative Verification of Neural Networks And its Security Applications.Teodora Baluta; Shiqi Shen; Shweta Shinde; Kuldeep S. Meel; Prateek Saxena Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection.Kang Liu; Haoyu Yang; Yuzhe Ma; Benjamin Tan; Bei Yu; Evangeline F. Y. Young; Ramesh Karri; Siddharth Garg 2019-06-24 Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals.Yunhan Huang; Quanyan Zhu 2019-06-22 Defending Against Adversarial Examples with K-Nearest Neighbor.Chawin Sitawarin; David Wagner 2019-06-21 Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations.Yuezun Li; Xin Yang; Baoyuan Wu; Siwei Lyu A Fourier Perspective on Model Robustness in Computer Vision.Dong Yin; Raphael Gontijo Lopes; Jonathon Shlens; Ekin D. Cubuk; Justin Gilmer Evolution Attack On Neural Networks.YiGui Luo; RuiJia Yang; Wei Sha; WeiYi Ding; YouTeng Sun; YiSi Wang Adversarial Examples to Fool Iris Recognition Systems.Sobhan Soleymani; Ali Dabouei; Jeremy Dawson; Nasser M. 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Huang; Peng Li Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield.Dou Goodman; Tao Wei SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing.Haonan Qiu; Chaowei Xiao; Lei Yang; Xinchen Yan; Honglak Lee; Bo Li 2019-06-17 Adversarial attacks on Copyright Detection Systems.Parsa Saadatpanah; Ali Shafahi; Tom Goldstein Improving Black-box Adversarial Attacks with a Transfer-based Prior.Shuyu Cheng; Yinpeng Dong; Tianyu Pang; Hang Su; Jun Zhu The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks.Felix Assion; Peter Schlicht; Florens Greßner; Wiebke Günther; Fabian Hüger; Nico Schmidt; Umair Rasheed 2019-06-16 Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.Alex Lamb; Vikas Verma; Juho Kannala; Yoshua Bengio Defending Against Adversarial Attacks Using Random Forests.Yifan Ding; Liqiang Wang; Huan Zhang; Jinfeng Yi; Deliang Fan; Boqing Gong 2019-06-15 Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences.Shashank Kotyan; Danilo Vasconcellos Vargas; Moe Matsuki 2019-06-14 Adversarial Training Can Hurt Generalization.Aditi Raghunathan; Sang Michael Xie; Fanny Yang; John C. 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Jaakkola 2019-06-11 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks.Ziang Yan; Yiwen Guo; Changshui Zhang Mimic and Fool: A Task Agnostic Adversarial Attack.Akshay Chaturvedi; Utpal Garain Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks.Mahyar Fazlyab; Alexander Robey; Hamed Hassani; Manfred Morari; George J. Pappas 2019-06-10 E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles.Markus Kettunen; Erik Härkönen; Jaakko Lehtinen Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective.Lu Wang; Xuanqing Liu; Jinfeng Yi; Zhi-Hua Zhou; Cho-Jui Hsieh Robustness Verification of Tree-based Models.Hongge Chen; Huan Zhang; Si Si; Yang Li; Duane Boning; Cho-Jui Hsieh Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.Kaidi Xu; Hongge Chen; Sijia Liu; Pin-Yu Chen; Tsui-Wei Weng; Mingyi Hong; Xue Lin 2019-06-09 On the Vulnerability of Capsule Networks to Adversarial Attacks.Felix Michels; Tobias Uelwer; Eric Upschulte; Stefan Harmeling Intriguing properties of adversarial training.Cihang Xie; Alan Yuille Improved Adversarial Robustness via Logit Regularization Methods.Cecilia Summers; Michael J. Dinneen Attacking Graph Convolutional Networks via Rewiring.Yao Ma; Suhang Wang; Tyler Derr; Lingfei Wu; Jiliang Tang Towards A Unified Min-Max Framework for Adversarial Exploration and Robustness.Jingkang Wang; Tianyun Zhang; Sijia Liu; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers.Hadi Salman; Greg Yang; Jerry Li; Pengchuan Zhang; Huan Zhang; Ilya Razenshteyn; Sebastien Bubeck 2019-06-08 Strategies to architect AI Safety: Defense to guard AI from Adversaries.Rajagopal. A; Nirmala. V Sensitivity of Deep Convolutional Networks to Gabor Noise.Kenneth T. Co; Luis Muñoz-González; Emil C. Lupu ML-LOO: Detecting Adversarial Examples with Feature Attribution.Puyudi Yang; Jianbo Chen; Cho-Jui Hsieh; Jane-Ling Wang; Michael I. Jordan Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks.Maksym Andriushchenko; Matthias Hein Making targeted black-box evasion attacks effective and efficient.Mika Juuti; Buse Gul Atli; N. Asokan Defending Against Universal Attacks Through Selective Feature Regeneration.Tejas Borkar; Felix Heide; Lina Karam 2019-06-07 A cryptographic approach to black box adversarial machine learning.Kevin Shi; Daniel Hsu; Allison Bishop Using learned optimizers to make models robust to input noise.Luke Metz; Niru Maheswaranathan; Jonathon Shlens; Jascha Sohl-Dickstein; Ekin D. Cubuk Efficient Project Gradient Descent for Ensemble Adversarial Attack.Fanyou Wu; Rado Gazo; Eva Haviarova; Bedrich Benes Inductive Bias of Gradient Descent based Adversarial Training on Separable Data.Yan Li; Ethan X. Fang; Huan Xu; Tuo Zhao Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness.Walt Woods; Jack Chen; Christof Teuscher Robustness for Non-Parametric Classification: A Generic Attack and Defense.Yao-Yuan Yang; Cyrus Rashtchian; Yizhen Wang; Kamalika Chaudhuri 2019-06-06 Robust Attacks against Multiple Classifiers.Juan C. Perdomo; Yaron Singer Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation.Raphael Gontijo Lopes; Dong Yin; Ben Poole; Justin Gilmer; Ekin D. Cubuk Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.Yujun Shi; Benben Liao; Guangyong Chen; Yun Liu; Ming-Ming Cheng; Jiashi Feng Should Adversarial Attacks Use Pixel p-Norm?Ayon Sen; Xiaojin Zhu; Liam Marshall; Robert Nowak Image Synthesis with a Single (Robust) Classifier.Shibani Santurkar; Dimitris Tsipras; Brandon Tran; Andrew Ilyas; Logan Engstrom; Aleksander Madry 2019-06-05 MNIST-C: A Robustness Benchmark for Computer Vision.Norman Mu; Justin Gilmer Enhancing Gradient-based Attacks with Symbolic Intervals.Shiqi Wang; Yizheng Chen; Ahmed Abdou; Suman Jana Query-efficient Meta Attack to Deep Neural Networks.Jiawei Du; Hu Zhang; Joey Tianyi Zhou; Yi Yang; Jiashi Feng c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation.Minh N. Vu; Truc D. Nguyen; NhatHai Phan; Ralucca Gera; My T. Thai Multi-way Encoding for Robustness.Donghyun Kim; Sarah Adel Bargal; Jianming Zhang; Stan Sclaroff 2019-06-04 Adversarial Training is a Form of Data-dependent Operator Norm Regularization.Kevin Roth; Yannic Kilcher; Thomas Hofmann 2019-06-03 Adversarial Exploitation of Policy Imitation.Vahid Behzadan; William Hsu RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies.Vahid Behzadan; William Hsu Adversarial Risk Bounds for Neural Networks through Sparsity based Compression.Emilio Rafael Balda; Arash Behboodi; Niklas Koep; Rudolf Mathar The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?Muhammad Usama; Junaid Qadir; Ala Al-Fuqaha; Mounir Hamdi Adversarial Robustness as a Prior for Learned Representations.Logan Engstrom; Andrew Ilyas; Shibani Santurkar; Dimitris Tsipras; Brandon Tran; Aleksander Madry Achieving Generalizable Robustness of Deep Neural Networks by Stability Training.Jan Laermann; Wojciech Samek; Nils Strodthoff A Surprising Density of Illusionable Natural Speech.Melody Y. Guan; Gregory Valiant Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models.Paweł Morawiecki; Przemysław Spurek; Marek Śmieja; Jacek Tabor Understanding the Limitations of Conditional Generative Models.Ethan Fetaya; Jörn-Henrik Jacobsen; Will Grathwohl; Richard Zemel 2019-06-02 Adversarially Robust Generalization Just Requires More Unlabeled Data.Runtian Zhai; Tianle Cai; Di He; Chen Dan; Kun He; John Hopcroft; Liwei Wang 2019-06-01 Adversarial Examples for Edge Detection: They Exist, and They Transfer.Christian Cosgrove; Alan L. Yuille Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification.Sid Ahmed Fezza; Yassine Bakhti; Wassim Hamidouche; Olivier Déforges Enhancing Transformation-based Defenses using a Distribution Classifier.Connie Kou; Hwee Kuan Lee; Ee-Chien Chang; Teck Khim Ng 2019-05-31 Unlabeled Data Improves Adversarial Robustness.Yair Carmon; Aditi Raghunathan; Ludwig Schmidt; Percy Liang; John C. 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Xing Expected Tight Bounds for Robust Training.Salman Alsubaihi; Adel Bibi; Modar Alfadly; Abdullah Hamdi; Bernard Ghanem Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness.Saeed Mahloujifar; Xiao Zhang; Mohammad Mahmoody; David Evans Cross-Domain Transferability of Adversarial Perturbations.Muzammal Naseer; Salman H. Khan; Harris Khan; Fahad Shahbaz Khan; Fatih Porikli Certifiably Robust Interpretation in Deep Learning.Alexander Levine; Sahil Singla; Soheil Feizi 2019-05-27 Brain-inspired reverse adversarial examples.Shaokai Ye; Sia Huat Tan; Kaidi Xu; Yanzhi Wang; Chenglong Bao; Kaisheng Ma Label Universal Targeted Attack.Naveed Akhtar; Mohammad A. A. K. Jalwana; Mohammed Bennamoun; Ajmal Mian Divide-and-Conquer Adversarial Detection.Xuwang Yin; Soheil Kolouri; Gustavo K. Rohde Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking.Yunhan Jia; Yantao Lu; Junjie Shen; Qi Alfred Chen; Zhenyu Zhong; Tao Wei Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$.Francesco Croce; Matthias Hein Scaleable input gradient regularization for adversarial robustness.Chris Finlay; Adam M Oberman Combating Adversarial Misspellings with Robust Word Recognition.Danish Pruthi; Bhuwan Dhingra; Zachary C. 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Hamilton 2019-05-25 Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks.Jirong Yi; Hui Xie; Leixin Zhou; Xiaodong Wu; Weiyu Xu; Raghuraman Mudumbai Adversarial Distillation for Ordered Top-k Attacks.Zekun Zhang; Tianfu Wu Adversarial Policies: Attacking Deep Reinforcement Learning.Adam Gleave; Michael Dennis; Cody Wild; Neel Kant; Sergey Levine; Stuart Russell Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.Tianyu Pang; Kun Xu; Yinpeng Dong; Chao Du; Ning Chen; Jun Zhu 2019-05-24 Robustness to Adversarial Perturbations in Learning from Incomplete Data.Amir Najafi; Shin-ichi Maeda; Masanori Koyama; Takeru Miyato Power up! 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Taylor Adversarial Examples Are Not Bugs, They Are Features.Andrew Ilyas; Shibani Santurkar; Dimitris Tsipras; Logan Engstrom; Brandon Tran; Aleksander Madry 2019-05-05 Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples.Vikash Sehwag; Arjun Nitin Bhagoji; Liwei Song; Chawin Sitawarin; Daniel Cullina; Mung Chiang; Prateek Mittal 2019-05-03 Transfer of Adversarial Robustness Between Perturbation Types.Daniel Kang; Yi Sun; Tom Brown; Dan Hendrycks; Jacob Steinhardt 2019-05-02 Adversarial Training with Voronoi Constraints.Marc Khoury; Dylan Hadfield-Menell Weight Map Layer for Noise and Adversarial Attack Robustness.Mohammed Amer; Tomás Maul You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle.Dinghuai Zhang; Tianyuan Zhang; Yiping Lu; Zhanxing Zhu; Bin Dong 2019-05-01 POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm.Jinyin Chen; Mengmeng Su; Shijing Shen; Hui Xiong; Haibin Zheng Dropping Pixels for Adversarial Robustness.Hossein Hosseini; Sreeram Kannan; Radha Poovendran NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.Yandong Li; Lijun Li; Liqiang Wang; Tong Zhang; Boqing Gong 2019-04-30 Test Selection for Deep Learning Systems.Wei Ma; Mike Papadakis; Anestis Tsakmalis; Maxime Cordy; Yves Le Traon Detecting Adversarial Examples through Nonlinear Dimensionality Reduction.Francesco Crecchi; Davide Bacciu; Battista Biggio 2019-04-29 Adversarial Training for Free!Ali Shafahi; Mahyar Najibi; Amin Ghiasi; Zheng Xu; John Dickerson; Christoph Studer; Larry S. Davis; Gavin Taylor; Tom Goldstein Adversarial Training and Robustness for Multiple Perturbations.Florian Tramèr; Dan Boneh 2019-04-27 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks.Xiang He; Sibei Yang; Guanbin Li?; Haofeng Li; Huiyou Chang; Yizhou Yu 2019-04-26 Robustness Verification of Support Vector Machines.Francesco Ranzato; Marco Zanella 2019-04-24 A Robust Approach for Securing Audio Classification Against Adversarial Attacks.Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Physical Adversarial Textures that Fool Visual Object Tracking.Rey Reza Wiyatno; Anqi Xu 2019-04-23 Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping.Kostiantyn Khabarlak; Larysa Koriashkina 2019-04-22 blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness.Jiaming Zhang; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Yongli Hu; Yanfeng Sun; Jian Yu Using Videos to Evaluate Image Model Robustness.Keren Gu; Brandon Yang; Jiquan Ngiam; Quoc Le; Jonathon Shlens 2019-04-21 Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.Devinder Kumar; Ibrahim Ben-Daya; Kanav Vats; Jeffery Feng; Graham Taylor and; Alexander Wong 2019-04-20 Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach.Rahim Taheri; Reza Javidan; Mohammad Shojafar; Vinod P; Mauro Conti 2019-04-19 Salient Object Detection in the Deep Learning Era: An In-Depth Survey.Wenguan Wang; Qiuxia Lai; Huazhu Fu; Jianbing Shen; Haibin Ling; Ruigang Yang 2019-04-18 Fooling automated surveillance cameras: adversarial patches to attack person detection.Simen Thys; Ranst Wiebe Van; Toon Goedemé 2019-04-17 ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks.Guanxiong Liu; Issa Khalil; Abdallah Khreishah Defensive Quantization: When Efficiency Meets Robustness.Ji Lin; Chuang Gan; Song Han Interpreting Adversarial Examples with Attributes.Sadaf Gulshad; Jan Hendrik Metzen; Arnold Smeulders; Zeynep Akata Adversarial Defense Through Network Profiling Based Path Extraction.Yuxian Qiu; Jingwen Leng; Cong Guo; Quan Chen; Chao Li; Minyi Guo; Yuhao Zhu Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.Shawn Shan; Emily Willson; Bolun Wang; Bo Li; Haitao Zheng; Ben Y. Zhao Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers.Ameya Joshi; Amitangshu Mukherjee; Soumik Sarkar; Chinmay Hegde 2019-04-16 Reducing Adversarial Example Transferability Using Gradient Regularization.George Adam; Petr Smirnov; Benjamin Haibe-Kains; Anna Goldenberg AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples.Xiaosen Wang; Kun He; Chuanbiao Song; Liwei Wang; John E. Hopcroft 2019-04-15 Are Self-Driving Cars Secure? 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Miller; Zhen Xiang; George Kesidis Unrestricted Adversarial Examples via Semantic Manipulation.Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li; D. A. Forsyth 2019-04-11 Black-Box Decision based Adversarial Attack with Symmetric $\alpha$-stable Distribution.Vignesh Srinivasan; Ercan E. Kuruoglu; Klaus-Robert Müller; Wojciech Samek; Shinichi Nakajima 2019-04-10 Learning to Generate Synthetic Data via Compositing.Shashank Tripathi; Siddhartha Chandra; Amit Agrawal; Ambrish Tyagi; James M. Rehg; Visesh Chari Black-box Adversarial Attacks on Video Recognition Models.Linxi Jiang; Xingjun Ma; Shaoxiang Chen; James Bailey; Yu-Gang Jiang 2019-04-09 Generation & Evaluation of Adversarial Examples for Malware Obfuscation.Daniel Park; Haidar Khan; Bülent Yener 2019-04-08 Efficient Decision-based Black-box Adversarial Attacks on Face Recognition.Yinpeng Dong; Hang Su; Baoyuan Wu; Zhifeng Li; Wei Liu; Tong Zhang; Jun Zhu A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning.Shahbaz Rezaei; Xin Liu 2019-04-07 JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks.N. Benjamin Erichson; Zhewei Yao; Michael W. Mahoney Malware Evasion Attack and Defense.Yonghong Huang; Utkarsh Verma; Celeste Fralick; Gabriel Infante-Lopez; Brajesh Kumarz; Carl Woodward 2019-04-06 On Training Robust PDF Malware Classifiers.Yizheng Chen; Shiqi Wang; Dongdong She; Suman Jana 2019-04-05 Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.Yinpeng Dong; Tianyu Pang; Hang Su; Jun Zhu 2019-04-04 White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks.Yotam Gil; Yoav Chai; Or Gorodissky; Jonathan Berant Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks.Fatemeh Sheikholeslami; Swayambhoo Jain; Georgios B. Giannakis 2019-04-03 Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions.Li Chen Interpreting Adversarial Examples by Activation Promotion and Suppression.Kaidi Xu; Sijia Liu; Gaoyuan Zhang; Mengshu Sun; Pu Zhao; Quanfu Fan; Chuang Gan; Xue Lin HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.Jianbo Chen; Michael I. Jordan; Martin J. Wainwright Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.Fred Hohman; Haekyu Park; Caleb Robinson; Duen Horng Chau 2019-04-02 Adversarial Attacks against Deep Saliency Models.Zhaohui Che; Ali Borji; Guangtao Zhai; Suiyi Ling; Guodong Guo; Patrick Le Callet 2019-04-01 Curls & Whey: Boosting Black-Box Adversarial Attacks.Yucheng Shi; Siyu Wang; Yahong Han Robustness of 3D Deep Learning in an Adversarial Setting.Matthew Wicker; Marta Kwiatkowska Defending against adversarial attacks by randomized diversification.Olga Taran; Shideh Rezaeifar; Taras Holotyak; Slava Voloshynovskiy Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks.Aamir Mustafa; Salman Khan; Munawar Hayat; Roland Goecke; Jianbing Shen; Ling Shao Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses.Yingwei Li; Song Bai; Cihang Xie; Zhenyu Liao; Xiaohui Shen; Alan L. Yuille 2019-03-31 On the Vulnerability of CNN Classifiers in EEG-Based BCIs.Xiao Zhang; Dongrui Wu 2019-03-29 Adversarial Robustness vs Model Compression, or Both?Shaokai Ye; Kaidi Xu; Sijia Liu; Hao Cheng; Jan-Henrik Lambrechts; Huan Zhang; Aojun Zhou; Kaisheng Ma; Yanzhi Wang; Xue Lin 2019-03-28 Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.Dan Hendrycks; Thomas Dietterich Smooth Adversarial Examples.Hanwei Zhang; Yannis Avrithis; Teddy Furon; Laurent Amsaleg 2019-03-27 Rallying Adversarial Techniques against Deep Learning for Network Security.Joseph Clements; Yuzhe Yang; Ankur Sharma; Hongxin Hu; Yingjie Lao Bridging Adversarial Robustness and Gradient Interpretability.Beomsu Kim; Junghoon Seo; Taegyun Jeon Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks.Francesco Croce; Jonas Rauber; Matthias Hein Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.Steffen Eger; Gözde Gül Şahin; Andreas Rücklé; Ji-Ung Lee; Claudia Schulz; Mohsen Mesgar; Krishnkant Swarnkar; Edwin Simpson; Iryna Gurevych 2019-03-26 On the Adversarial Robustness of Multivariate Robust Estimation.Erhan Bayraktar; Lifeng Lai A geometry-inspired decision-based attack.Yujia Liu; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard 2019-03-25 Defending against Whitebox Adversarial Attacks via Randomized Discretization.Yuchen Zhang; Percy Liang Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness.Jörn-Henrik Jacobsen; Jens Behrmannn; Nicholas Carlini; Florian Tramèr; Nicolas Papernot The LogBarrier adversarial attack: making effective use of decision boundary information.Chris Finlay; Aram-Alexandre Pooladian; Adam M. Oberman Robust Neural Networks using Randomized Adversarial Training.Alexandre Araujo; Laurent Meunier; Rafael Pinot; Benjamin Negrevergne 2019-03-24 A Formalization of Robustness for Deep Neural Networks.Tommaso Dreossi; Shromona Ghosh; Alberto Sangiovanni-Vincentelli; Sanjit A. Seshia Variational Inference with Latent Space Quantization for Adversarial Resilience.Vinay Kyatham; Mayank Mishra; Tarun Kumar Yadav; Deepak Mishra; Prathosh AP 2019-03-23 Improving Adversarial Robustness via Guided Complement Entropy.Hao-Yun Chen; Jhao-Hong Liang; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen; Wei Wei; Da-Cheng Juan 2019-03-22 Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition.Yao Qin; Nicholas Carlini; Ian Goodfellow; Garrison Cottrell; Colin Raffel Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network. (45%)Aupendu Kar; Prabir Kumar Biswas 2019-03-21 Adversarial camera stickers: A physical camera-based attack on deep learning systems.Juncheng Li; Frank R. Schmidt; J. Zico Kolter 2019-03-20 Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes.Matt Jordan; Justin Lewis; Alexandros G. Dimakis 2019-03-19 On the Robustness of Deep K-Nearest Neighbors.Chawin Sitawarin; David Wagner 2019-03-18 Generating Adversarial Examples With Conditional Generative Adversarial Net.Ping Yu; Kaitao Song; Jianfeng Lu Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems.Hadi Abdullah; Washington Garcia; Christian Peeters; Patrick Traynor; Kevin R. B. Butler; Joseph Wilson 2019-03-17 Adversarial Attacks on Deep Neural Networks for Time Series Classification.Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller 2019-03-15 On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models.Paul Michel; Xian Li; Graham Neubig; Juan Miguel Pino On Certifying Non-uniform Bound against Adversarial Attacks.Chen Liu; Ryota Tomioka; Volkan Cevher 2019-03-14 A Research Agenda: Dynamic Models to Defend Against Correlated Attacks.Ian Goodfellow Attribution-driven Causal Analysis for Detection of Adversarial Examples.Susmit Jha; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha; Somesh Jha; Gunjan Verma; Brian Jalaian; Ananthram Swami 2019-03-13 Adversarial attacks against Fact Extraction and VERification.James Thorne; Andreas Vlachos 2019-03-12 Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models.Adith Boloor; Xin He; Christopher Gill; Yevgeniy Vorobeychik; Xuan Zhang 2019-03-11 Can Adversarial Network Attack be Defended?Jinyin Chen; Yangyang Wu; Xiang Lin; Qi Xuan 2019-03-09 Manifold Preserving Adversarial Learning.Ousmane Amadou Dia; Elnaz Barshan; Reza Babanezhad 2019-03-07 Attack Type Agnostic Perceptual Enhancement of Adversarial Images.Bilgin Aksoy; Alptekin Temizel Out-domain examples for generative models.Dario Pasquini; Marco Mingione; Massimo Bernaschi 2019-03-06 GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier.Guanxiong Liu; Issa Khalil; Abdallah Khreishah 2019-03-05 Statistical Guarantees for the Robustness of Bayesian Neural Networks.Luca Cardelli; Marta Kwiatkowska; Luca Laurenti; Nicola Paoletti; Andrea Patane; Matthew Wicker L 1-norm double backpropagation adversarial defense.Ismaïla LIMOS, LITIS Seck; Gaëlle LIMOS Loosli; Stephane LITIS Canu 2019-03-04 Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search.Abhimanyu Dubey; der Maaten Laurens van; Zeki Yalniz; Yixuan Li; Dhruv Mahajan The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques.Huijun Wu; Chen Wang; Yuriy Tyshetskiy; Andrew Dotcherty; Kai Lu; Liming Zhu Complement Objective Training.Hao-Yun Chen; Pei-Hsin Wang; Chun-Hao Liu; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen; Wei Wei; Da-Cheng Juan Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming.Mahyar Fazlyab; Manfred Morari; George J. Pappas 2019-03-03 A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations.Saeid Asgari Taghanaki; Kumar Abhishek; Shekoofeh Azizi; Ghassan Hamarneh 2019-03-01 Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications.Bryse Flowers; R. Michael Buehrer; William C. Headley PuVAE: A Variational Autoencoder to Purify Adversarial Examples.Uiwon Hwang; Jaewoo Park; Hyemi Jang; Sungroh Yoon; Nam Ik Cho Attacking Graph-based Classification via Manipulating the Graph Structure.Binghui Wang; Neil Zhenqiang Gong 2019-02-28 On the Effectiveness of Low Frequency Perturbations.Yash Sharma; Gavin Weiguang Ding; Marcus Brubaker Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN.Ke Sun; Zhanxing Zhu; Zhouchen Lin Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.Ke Sun; Zhanxing Zhu; Zhouchen Lin Adversarial Attack and Defense on Point Sets.Qiang Zhang; Jiancheng Yang; Rongyao Fang; Bingbing Ni; Jinxian Liu; Qi Tian 2019-02-27 Adversarial Attacks on Time Series.Fazle Karim; Somshubra Majumdar; Houshang Darabi Robust Decision Trees Against Adversarial Examples.Hongge Chen; Huan Zhang; Duane Boning; Cho-Jui Hsieh Tensor Dropout for Robust Learning.Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Adrian Bulat; Anima Anandkumar; Ioanna Tzoulaki; Paul Matthews The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection.Muhammad Zaid Hameed; Andras Gyorgy; Deniz Gunduz A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning. 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Dimakis Wasserstein Adversarial Examples via Projected Sinkhorn Iterations.Eric Wong; Frank R. Schmidt; J. 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Kounavis; Duen Horng Chau 2019-01-31 A New Family of Neural Networks Provably Resistant to Adversarial Attacks.Rakshit Agrawal; Alfaro Luca de; David Helmbold Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness.Li Xiao; Yijie Peng; Jeff Hong; Zewu Ke; Shuhuai Yang 2019-01-30 A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance.Adi Shamir; Itay Safran; Eyal Ronen; Orr Dunkelman Augmenting Model Robustness with Transformation-Invariant Attacks.Houpu Yao; Zhe Wang; Guangyu Nie; Yassine Mazboudi; Yezhou Yang; Yi Ren 2019-01-29 Adversarial Examples Are a Natural Consequence of Test Error in Noise.Nic Ford; Justin Gilmer; Nicolas Carlini; Dogus Cubuk On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks.Peter Langeberg; Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar RED-Attack: Resource Efficient Decision based Attack for Machine Learning.Faiq Khalid; Hassan Ali; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique Reliable Smart Road Signs.Muhammed O. Sayin; Chung-Wei Lin; Eunsuk Kang; Shinichi Shiraishi; Tamer Basar Adversarial Metric Attack and Defense for Person Re-identification.Song Bai; Yingwei Li; Yuyin Zhou; Qizhu Li; Philip H. S. Torr 2019-01-28 Improving Adversarial Robustness of Ensembles with Diversity Training.Sanjay Kariyappa; Moinuddin K. 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Sagduyu; Kemal Davaslioglu; Jason H. Li Improving Adversarial Robustness via Promoting Ensemble Diversity.Tianyu Pang; Kun Xu; Chao Du; Ning Chen; Jun Zhu 2019-01-24 Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.Yinpeng Dong; Fan Bao; Hang Su; Jun Zhu Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples.Kamil Nar; Orhan Ocal; S. Shankar Sastry; Kannan Ramchandran Theoretically Principled Trade-off between Robustness and Accuracy.Hongyang Zhang; Yaodong Yu; Jiantao Jiao; Eric P. Xing; Laurent El Ghaoui; Michael I. Jordan 2019-01-23 SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems.Tianyu Du; Shouling Ji; Jinfeng Li; Qinchen Gu; Ting Wang; Raheem Beyah Sitatapatra: Blocking the Transfer of Adversarial Samples.Ilia Shumailov; Xitong Gao; Yiren Zhao; Robert Mullins; Ross Anderson; Cheng-Zhong Xu 2019-01-21 Universal Rules for Fooling Deep Neural Networks based Text Classification.Di Li; Danilo Vasconcellos Vargas; Sakurai Kouichi Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey.Wei Emma Zhang; Quan Z. Sheng; Ahoud Alhazmi; Chenliang Li Sensitivity Analysis of Deep Neural Networks.Hai Shu; Hongtu Zhu Perception-in-the-Loop Adversarial Examples.Mahmoud Salamati; Sadegh Soudjani; Rupak Majumdar 2019-01-17 Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners.Saeed TU Darmstadt Ehteshamifar; Antonio xorlab Barresi; Thomas R. ETH Zurich Gross; Michael TU Darmstadt Pradel 2019-01-15 The Limitations of Adversarial Training and the Blind-Spot Attack.Huan Zhang; Hongge Chen; Zhao Song; Duane Boning; Inderjit S. Dhillon; Cho-Jui Hsieh 2019-01-13 Generating Adversarial Perturbation with Root Mean Square Gradient.Yatie Xiao; Chi-Man Pun; Jizhe Zhou 2019-01-12 ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System.Huangxun Chen; Chenyu Huang; Qianyi Huang; Qian Zhang; Wei Wang 2019-01-11 Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries.Luca Demetrio; Battista Biggio; Giovanni Lagorio; Fabio Roli; Alessandro Armando 2019-01-10 Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification.Luiz G. Hafemann; Robert Sabourin; Luiz S. Oliveira Image Transformation can make Neural Networks more robust against Adversarial Examples.Dang Duy Thang; Toshihiro Matsui 2019-01-09 Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers.Daniel Liu; Ronald Yu; Hao Su 2019-01-08 Interpretable BoW Networks for Adversarial Example Detection.Krishna Kanth Nakka; Mathieu Salzmann 2019-01-07 Image Super-Resolution as a Defense Against Adversarial Attacks.Aamir Mustafa; Salman H. Khan; Munawar Hayat; Jianbing Shen; Ling Shao 2019-01-05 Fake News Detection via NLP is Vulnerable to Adversarial Attacks.Zhixuan Zhou; Huankang Guan; Meghana Moorthy Bhat; Justin Hsu 2019-01-04 Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study.Xurong Li; Shouling Ji; Meng Han; Juntao Ji; Zhenyu Ren; Yushan Liu; Chunming Wu 2019-01-02 Multi-Label Adversarial Perturbations.Qingquan Song; Haifeng Jin; Xiao Huang; Xia Hu Adversarial Robustness May Be at Odds With Simplicity.Preetum Nakkiran 2019-01-01 A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks.Long Zhang; Xuechao Sun; Yong Li; Zhenyu Zhang 2018-12-27 DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems.Husheng Zhou; Wei Li; Yuankun Zhu; Yuqun Zhang; Bei Yu; Lingming Zhang; Cong Liu 2018-12-26 Adversarial Attack and Defense on Graph Data: A Survey.Lichao Sun; Yingtong Dou; Carl Yang; Ji Wang; Philip S. Yu; Lifang He; Bo Li 2018-12-25 A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome.Li Chen; Hailun Ding; Qi Li; Jiawei Zhu; Jian Peng; Haifeng Li Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition.Krishan Rajaratnam; Jugal Kalita PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning.Mehdi Jafarnia-Jahromi; Tasmin Chowdhury; Hsin-Tai Wu; Sayandev Mukherjee A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples.Qiang Zeng; Jianhai Su; Chenglong Fu; Golam Kayas; Lannan Luo Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors.Yue Zhao; Hong Zhu; Ruigang Liang; Qintao Shen; Shengzhi Zhang; Kai Chen 2018-12-24 DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense.Hang Zhou; Kejiang Chen; Weiming Zhang; Han Fang; Wenbo Zhou; Nenghai Yu 2018-12-23 Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks.Ankur Chowdhary; Sailik Sengupta; Dijiang Huang; Subbarao Kambhampati Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks.Thomas Brunner; Frederik Diehl; Michael Truong Le; Alois Knoll 2018-12-22 Exploiting the Inherent Limitation of L0 Adversarial Examples.Fei Zuo; Bokai Yang; Xiaopeng Li; Lannan Luo; Qiang Zeng 2018-12-21 Dissociable neural representations of adversarially perturbed images in convolutional neural networks and the human brain.Chi Zhang; Xiaohan Duan; Linyuan Wang; Yongli Li; Bin Yan; Guoen Hu; Ruyuan Zhang; Li Tong 2018-12-19 Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge.Deqiang Li; Qianmu Li; Yanfang Ye; Shouhuai Xu 2018-12-18 PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach.Tsui-Wei Weng; Pin-Yu Chen; Lam M. Nguyen; Mark S. Squillante; Ivan Oseledets; Luca Daniel 2018-12-17 Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings.François Menet; Paul Berthier; José M. Fernandez; Michel Gagnon Designing Adversarially Resilient Classifiers using Resilient Feature Engineering.Kevin Eykholt; Atul Prakash A Survey of Safety and Trustworthiness of Deep Neural Networks.Xiaowei Huang; Daniel Kroening; Wenjie Ruan; James Sharp; Youcheng Sun; Emese Thamo; Min Wu; Xinping Yi 2018-12-16 Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks.Xiang Li; Shihao Ji 2018-12-15 Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples.Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar Trust Region Based Adversarial Attack on Neural Networks.Zhewei Yao; Amir Gholami; Peng Xu; Kurt Keutzer; Michael Mahoney 2018-12-14 Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing.Jingyi Wang; Guoliang Dong; Jun Sun; Xinyu Wang; Peixin Zhang 2018-12-13 TextBugger: Generating Adversarial Text Against Real-world Applications.Jinfeng Li; Shouling Ji; Tianyu Du; Bo Li; Ting Wang Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem.Matthias Hein; Maksym Andriushchenko; Julian Bitterwolf 2018-12-12 Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform.Mitali Bafna; Jack Murtagh; Nikhil Vyas 2018-12-11 On the Security of Randomized Defenses Against Adversarial Samples.Kumar Sharad; Giorgia Azzurra Marson; Hien Thi Thu Truong; Ghassan Karame Adversarial Framing for Image and Video Classification.Konrad Zolna; Michal Zajac; Negar Rostamzadeh; Pedro O. Pinheiro 2018-12-10 Defending Against Universal Perturbations With Shared Adversarial Training.Chaithanya Kumar Mummadi; Thomas Brox; Jan Hendrik Metzen 2018-12-08 Feature Denoising for Improving Adversarial Robustness.Cihang Xie; Yuxin Wu; der Maaten Laurens van; Alan Yuille; Kaiming He AutoGAN: Robust Classifier Against Adversarial Attacks.Blerta Lindqvist; Shridatt Sugrim; Rauf Izmailov Detecting Adversarial Examples in Convolutional Neural Networks.Stefanos Pertigkiozoglou; Petros Maragos Learning Transferable Adversarial Examples via Ghost Networks.Yingwei Li; Song Bai; Yuyin Zhou; Cihang Xie; Zhishuai Zhang; Alan Yuille 2018-12-07 Deep-RBF Networks Revisited: Robust Classification with Rejection.Pourya Habib Zadeh; Reshad Hosseini; Suvrit Sra Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach.Rajeev Sahay; Rehana Mahfuz; Aly El Gamal 2018-12-06 Adversarial Defense of Image Classification Using a Variational Auto-Encoder.Yi Luo; Henry Pfister Adversarial Attacks, Regression, and Numerical Stability Regularization.Andre T. Nguyen; Edward Raff Prior Networks for Detection of Adversarial Attacks.Andrey Malinin; Mark Gales Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack.Jingyang Zhang; Hsin-Pai Cheng; Chunpeng Wu; Hai Li; Yiran Chen Fooling Network Interpretation in Image Classification.Akshayvarun Subramanya; Vipin Pillai; Hamed Pirsiavash The Limitations of Model Uncertainty in Adversarial Settings.Kathrin Grosse; David Pfaff; Michael Thomas Smith; Michael Backes MMA Training: Direct Input Space Margin Maximization through Adversarial Training.Gavin Weiguang Ding; Yash Sharma; Kry Yik Chau Lui; Ruitong Huang 2018-12-05 On Configurable Defense against Adversarial Example Attacks.Bo Luo; Min Li; Yu Li; Qiang Xu Regularized Ensembles and Transferability in Adversarial Learning.Yifan Chen; Yevgeniy Vorobeychik SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications.Abdullah Hamdi; Matthias Müller; Bernard Ghanem 2018-12-04 Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures.Jonathan Dj Uesato; Ananya Dj Kumar; Csaba Dj Szepesvari; Tom Dj Erez; Avraham Dj Ruderman; Keith Dj Anderson; Dj Krishmamurthy; Dvijotham; Nicolas Heess; Pushmeet Kohli Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples.Huangyi Ge; Sze Yiu Chau; Bruno Ribeiro; Ninghui Li 2018-12-03 Disentangling Adversarial Robustness and Generalization.David Stutz; Matthias Hein; Bernt Schiele Interpretable Deep Learning under Fire.Xinyang Zhang; Ningfei Wang; Hua Shen; Shouling Ji; Xiapu Luo; Ting Wang Adversarial Example Decomposition.Horace He; Aaron Lou; Qingxuan Jiang; Isay Katsman; Serge Belongie; Ser-Nam Lim 2018-12-02 Model-Reuse Attacks on Deep Learning Systems.Yujie Ji; Xinyang Zhang; Shouling Ji; Xiapu Luo; Ting Wang Universal Perturbation Attack Against Image Retrieval.Jie Li; Rongrong Ji; Hong Liu; Xiaopeng Hong; Yue Gao; Qi Tian 2018-12-01 FineFool: Fine Object Contour Attack via Attention.Jinyin Chen; Haibin Zheng; Hui Xiong; Mengmeng Su Building robust classifiers through generation of confident out of distribution examples.Kumar Sricharan; Ashok Srivastava Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.Qi Lei; Lingfei Wu; Pin-Yu Chen; Alexandros G. Dimakis; Inderjit S. Dhillon; Michael Witbrock Effects of Loss Functions And Target Representations on Adversarial Robustness.Sean Saito; Sujoy Roy SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems.Edward Chou; Florian Tramèr; Giancarlo Pellegrino 2018-11-30 Transferable Adversarial Attacks for Image and Video Object Detection.Xingxing Wei; Siyuan Liang; Xiaochun Cao; Jun Zhu ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples.Xiaojun Jia; Xingxing Wei; Xiaochun Cao; Hassan Foroosh Adversarial Defense by Stratified Convolutional Sparse Coding.Bo Sun; Nian-hsuan Tsai; Fangchen Liu; Ronald Yu; Hao Su 2018-11-29 CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks.Akhilan Boopathy; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu; Luca Daniel Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting.Artur Bekasov; Iain Murray Adversarial Examples as an Input-Fault Tolerance Problem.Angus Galloway; Anna Golubeva; Graham W. Taylor Analyzing Federated Learning through an Adversarial Lens.Arjun Nitin Bhagoji; Supriyo Chakraborty; Prateek Mittal; Seraphin Calo 2018-11-28 Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers.Nathan Inkawhich; Matthew Inkawhich; Yiran Chen; Hai Li Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects.Michael A. Alcorn; Qi Li; Zhitao Gong; Chengfei Wang; Long Mai; Wei-Shinn Ku; Anh Nguyen A randomized gradient-free attack on ReLU networks.Francesco Croce; Matthias Hein Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness.Siddique Latif; Rajib Rana; Junaid Qadir 2018-11-27 Robust Classification of Financial Risk.Suproteem K. Sarkar; Kojin Oshiba; Daniel Giebisch; Yaron Singer Universal Adversarial Training.Ali Shafahi; Mahyar Najibi; Zheng Xu; John Dickerson; Larry S. Davis; Tom Goldstein Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.Kevin McCloskey; Ankur Taly; Federico Monti; Michael P. Brenner; Lucy Colwell A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.Jinghui Chen; Dongruo Zhou; Jinfeng Yi; Quanquan Gu 2018-11-26 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies.Bao Wang; Binjie Yuan; Zuoqiang Shi; Stanley J. Osher Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks.Jianyu Wang; Haichao Zhang 2018-11-25 Is Data Clustering in Adversarial Settings Secure?Battista Biggio; Ignazio Pillai; Samuel Rota Bulò; Davide Ariu; Marcello Pelillo; Fabio Roli 2018-11-24 Attention, Please! Adversarial Defense via Attention Rectification and Preservation.Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang; Yanfeng Sun; Liping Jing; Jian Yu 2018-11-23 Robustness via curvature regularization, and vice versa.Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Jonathan Uesato; Pascal Frossard Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.Jérôme Rony; Luiz G. Hafemann; Luiz S. Oliveira; Ismail Ben Ayed; Robert Sabourin; Eric Granger 2018-11-22 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.Adnan Siraj Rakin; Zhezhi He; Deliang Fan Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles.Edward Grefenstette; Robert Stanforth; Brendan O'Donoghue; Jonathan Uesato; Grzegorz Swirszcz; Pushmeet Kohli Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces.Ziv Katzir; Yuval Elovici 2018-11-21 Task-generalizable Adversarial Attack based on Perceptual Metric.Muzammal Naseer; Salman H. Khan; Shafin Rahman; Fatih Porikli Towards Robust Neural Networks with Lipschitz Continuity.Muhammad Usama; Dong Eui Chang 2018-11-20 How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.Utku Ozbulak; Neve Wesley De; Messem Arnout Van MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Timo Bremer Intermediate Level Adversarial Attack for Enhanced Transferability.Qian Huang; Zeqi Gu; Isay Katsman; Horace He; Pian Pawakapan; Zhiqiu Lin; Serge Belongie; Ser-Nam Lim Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples.Hajime Ono; Tsubasa Takahashi; Kazuya Kakizaki Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition.Jenn-Bing Ong; Wee-Keong Ng; C. -C. Jay Kuo 2018-11-19 Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.Yao Li; Martin Renqiang Min; Wenchao Yu; Cho-Jui Hsieh; Thomas C. M. Lee; Erik Kruus 2018-11-18 Generalizable Adversarial Training via Spectral Normalization.Farzan Farnia; Jesse M. Zhang; David Tse Regularized adversarial examples for model interpretability.Yoel Shoshan; Vadim Ratner The Taboo Trap: Behavioural Detection of Adversarial Samples.Ilia Shumailov; Yiren Zhao; Robert Mullins; Ross Anderson 2018-11-17 DeepConsensus: using the consensus of features from multiple layers to attain robust image classification.Yuchen Li; Safwan Hossain; Kiarash Jamali; Frank Rudzicz Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples.Jacob M. Springer; Charles S. Strauss; Austin M. Thresher; Edward Kim; Garrett T. Kenyon Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel.Chengdong Feng; Zhenbang Chen; Weijiang Hong; Hengbiao Yu; Wei Dong; Ji Wang 2018-11-16 Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues.Yuan Gong; Christian Poellabauer DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules.Nicholas Frosst; Sara Sabour; Geoffrey Hinton 2018-11-15 A Spectral View of Adversarially Robust Features.Shivam Garg; Vatsal Sharan; Brian Hu Zhang; Gregory Valiant A note on hyperparameters in black-box adversarial examples.Jamie Hayes Mathematical Analysis of Adversarial Attacks.Zehao Dou; Stanley J. Osher; Bao Wang Adversarial Examples from Cryptographic Pseudo-Random Generators.Sébastien Bubeck; Yin Tat Lee; Eric Price; Ilya Razenshteyn 2018-11-14 Verification of Recurrent Neural Networks Through Rule Extraction.Qinglong Wang; Kaixuan Zhang; Xue Liu; C. Lee Giles Robustness of spectral methods for community detection.Ludovic Stephan; Laurent Massoulié 2018-11-13 Deep Q learning for fooling neural networks.Mandar Kulkarni 2018-11-08 Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.Thomas A. Hogan; Bhavya Kailkhura New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling.Ian Goodfellow A Geometric Perspective on the Transferability of Adversarial Directions.Zachary Charles; Harrison Rosenberg; Dimitris Papailiopoulos 2018-11-07 CAAD 2018: Iterative Ensemble Adversarial Attack.Jiayang Liu; Weiming Zhang; Nenghai Yu AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning.Florian Tramèr; Pascal Dupré; Gili Rusak; Giancarlo Pellegrino; Dan Boneh 2018-11-06 MixTrain: Scalable Training of Verifiably Robust Neural Networks.Shiqi Wang; Yizheng Chen; Ahmed Abdou; Suman Jana SparseFool: a few pixels make a big difference.Apostolos Modas; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard 2018-11-05 Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls.Yi Shi; Yalin E. Sagduyu; Kemal Davaslioglu; Jason H. Li FUNN: Flexible Unsupervised Neural Network.David Vigouroux; Sylvain Picard On the Transferability of Adversarial Examples Against CNN-Based Image Forensics.Mauro Barni; Kassem Kallas; Ehsan Nowroozi; Benedetta Tondi 2018-11-04 FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning.Faiq Khalid; Muhammmad Abdullah Hanif; Semeen Rehman; Junaid Qadir; Muhammad Shafique QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks.Faiq Khalid; Hassan Ali; Hammad Tariq; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters.Hassan Ali; Faiq Khalid; Hammad Tariq; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 2018-11-03 Adversarial Gain.Peter Henderson; Koustuv Sinha; Rosemary Nan Ke; Joelle Pineau CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network.Xiaoyi Dong; Weiming Zhang; Nenghai Yu Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization.Shreya Khare; Rahul Aralikatte; Senthil Mani Learning to Defense by Learning to Attack.Haoming Jiang; Zhehui Chen; Yuyang Shi; Bo Dai; Tuo Zhao 2018-11-02 A Marauder's Map of Security and Privacy in Machine Learning.Nicolas Papernot Semidefinite relaxations for certifying robustness to adversarial examples.Aditi Raghunathan; Jacob Steinhardt; Percy Liang Efficient Neural Network Robustness Certification with General Activation Functions.Huan Zhang; Tsui-Wei Weng; Pin-Yu Chen; Cho-Jui Hsieh; Luca Daniel Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks.Davide Maiorca; Battista Biggio; Giorgio Giacinto TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks.Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 2018-11-01 Improving Adversarial Robustness by Encouraging Discriminative Features.Chirag Agarwal; Anh Nguyen; Dan Schonfeld On the Geometry of Adversarial Examples.Marc Khoury; Dylan Hadfield-Menell Excessive Invariance Causes Adversarial Vulnerability.Jörn-Henrik Jacobsen; Jens Behrmann; Richard Zemel; Matthias Bethge 2018-10-31 When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers.Yujia Wang; David J. Miller; George Kesidis Reversible Adversarial Examples.Jiayang Liu; Dongdong Hou; Weiming Zhang; Nenghai Yu 2018-10-30 Improved Network Robustness with Adversary Critic.Alexander Matyasko; Lap-Pui Chau On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.Sven Gowal; Krishnamurthy Dvijotham; Robert Stanforth; Rudy Bunel; Chongli Qin; Jonathan Uesato; Relja Arandjelovic; Timothy Mann; Pushmeet Kohli 2018-10-29 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution.Dimitrios I. Diochnos; Saeed Mahloujifar; Mohammad Mahmoody Logit Pairing Methods Can Fool Gradient-Based Attacks.Marius Mosbach; Maksym Andriushchenko; Thomas Trost; Matthias Hein; Dietrich Klakow 2018-10-28 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications.Huan Zhang; Pengchuan Zhang; Cho-Jui Hsieh Rademacher Complexity for Adversarially Robust Generalization.Dong Yin; Kannan Ramchandran; Peter Bartlett Robust Audio Adversarial Example for a Physical Attack.Hiromu Yakura; Jun Sakuma 2018-10-27 Towards Robust Deep Neural Networks.Timothy E. Wang; Yiming Gu; Dhagash Mehta; Xiaojun Zhao; Edgar A. Bernal Regularization Effect of Fast Gradient Sign Method and its Generalization.Chandler Zuo 2018-10-26 Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples.Guanhong Tao; Shiqing Ma; Yingqi Liu; Xiangyu Zhang 2018-10-25 Law and Adversarial Machine Learning.Ram Shankar Siva Kumar; David R. O'Brien; Kendra Albert; Salome Vilojen Attack Graph Convolutional Networks by Adding Fake Nodes.Xiaoyun Wang; Minhao Cheng; Joe Eaton; Cho-Jui Hsieh; Felix Wu Evading classifiers in discrete domains with provable optimality guarantees.Bogdan Kulynych; Jamie Hayes; Nikita Samarin; Carmela Troncoso 2018-10-24 Robust Adversarial Learning via Sparsifying Front Ends.Soorya Gopalakrishnan; Zhinus Marzi; Metehan Cekic; Upamanyu Madhow; Ramtin Pedarsani 2018-10-23 Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses.Mohammad Hashemi; Greg Cusack; Eric Keller One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy.Jingkang Wang; Ruoxi Jia; Gerald Friedland; Bo Li; Costas Spanos Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors.Yanzi Zhu; Zhujun Xiao; Yuxin Chen; Zhijing Li; Max Liu; Ben Y. Zhao; Haitao Zheng 2018-10-22 Adversarial Risk Bounds via Function Transformation.Justin Khim; Po-Ling Loh Cost-Sensitive Robustness against Adversarial Examples.Xiao Zhang; David Evans Sparse DNNs with Improved Adversarial Robustness.Yiwen Guo; Chao Zhang; Changshui Zhang; Yurong Chen 2018-10-19 On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm.Tsui-Wei Weng; Huan Zhang; Pin-Yu Chen; Aurelie Lozano; Cho-Jui Hsieh; Luca Daniel 2018-10-18 Exploring Adversarial Examples in Malware Detection.Octavian Suciu; Scott E. Coull; Jeffrey Johns A Training-based Identification Approach to VIN Adversarial Examples.Yingdi Wang; Wenjia Niu; Tong Chen; Yingxiao Xiang; Jingjing Liu; Gang Li; Jiqiang Liu 2018-10-17 Provable Robustness of ReLU networks via Maximization of Linear Regions.Francesco University of Tübingen Croce; Maksym Saarland University Andriushchenko; Matthias University of Tübingen Hein 2018-10-16 Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers.Nicole Nichols; Robert Jasper Security Matters: A Survey on Adversarial Machine Learning.Guofu Li; Pengjia Zhu; Jin Li; Zhemin Yang; Ning Cao; Zhiyi Chen 2018-10-15 Concise Explanations of Neural Networks using Adversarial Training.Prasad Chalasani; Jiefeng Chen; Amrita Roy Chowdhury; Somesh Jha; Xi Wu 2018-10-11 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.Chaowei Xiao; Ruizhi Deng; Bo Li; Fisher Yu; Mingyan Liu; Dawn Song MeshAdv: Adversarial Meshes for Visual Recognition.Chaowei Xiao; Dawei Yang; Bo Li; Jia Deng; Mingyan Liu 2018-10-09 Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only.Tianhang Zheng; Changyou Chen; Kui Ren Analyzing the Noise Robustness of Deep Neural Networks.Mengchen Liu; Shixia Liu; Hang Su; Kelei Cao; Jun Zhu The Adversarial Attack and Detection under the Fisher Information Metric.Chenxiao Zhao; P. Thomas Fletcher; Mixue Yu; Yaxin Peng; Guixu Zhang; Chaomin Shen 2018-10-08 Limitations of adversarial robustness: strong No Free Lunch Theorem.Elvis Dohmatob Efficient Two-Step Adversarial Defense for Deep Neural Networks.Ting-Jui Chang; Yukun He; Peng Li Combinatorial Attacks on Binarized Neural Networks.Elias B. Khalil; Amrita Gupta; Bistra Dilkina Average Margin Regularization for Classifiers.Matt Olfat; Anil Aswani 2018-10-04 Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness.Chihuang Liu; Joseph JaJa Improved Generalization Bounds for Robust Learning.Idan Attias; Aryeh Kontorovich; Yishay Mansour 2018-10-02 Can Adversarially Robust Learning Leverage Computational Hardness?Saeed Mahloujifar; Mohammad Mahmoody Adversarial Examples - A Complete Characterisation of the Phenomenon.Alexandru Constantin Serban; Erik Poll; Joost Visser Link Prediction Adversarial Attack.Jinyin Chen; Ziqiang Shi; Yangyang Wu; Xuanheng Xu; Haibin Zheng 2018-10-01 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network.Xuanqing Liu; Yao Li; Chongruo Wu; Cho-Jui Hsieh Improving the Generalization of Adversarial Training with Domain Adaptation.Chuanbiao Song; Kun He; Liwei Wang; John E. Hopcroft Large batch size training of neural networks with adversarial training and second-order information.Zhewei Yao; Amir Gholami; Daiyaan Arfeen; Richard Liaw; Joseph Gonzalez; Kurt Keutzer; Michael Mahoney Improved robustness to adversarial examples using Lipschitz regularization of the loss.Chris Finlay; Adam Oberman; Bilal Abbasi 2018-09-30 Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks.Kenneth T. Co; Luis Muñoz-González; Maupeou Sixte de; Emil C. Lupu 2018-09-29 CAAD 2018: Generating Transferable Adversarial Examples.Yash Sharma; Tien-Dung Le; Moustafa Alzantot Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.Fuxun Yu; Chenchen Liu; Yanzhi Wang; Liang Zhao; Xiang Chen To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression.Yiren Zhao; Ilia Shumailov; Robert Mullins; Ross Anderson 2018-09-28 Characterizing Audio Adversarial Examples Using Temporal Dependency.Zhuolin Yang; Bo Li; Pin-Yu Chen; Dawn Song Adversarial Attacks and Defences: A Survey.Anirban Chakraborty; Manaar Alam; Vishal Dey; Anupam Chattopadhyay; Debdeep Mukhopadhyay Explainable Black-Box Attacks Against Model-based Authentication.Washington Garcia; Joseph I. Choi; Suman K. Adari; Somesh Jha; Kevin R. B. Butler 2018-09-26 Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward.Muhammad Usama; Junaid Qadir; Ala Al-Fuqaha 2018-09-24 Neural Networks with Structural Resistance to Adversarial Attacks.Alfaro Luca de Fast Geometrically-Perturbed Adversarial Faces.Ali Dabouei; Sobhan Soleymani; Jeremy Dawson; Nasser M. Nasrabadi On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.Chia-Yi Hsu; Pei-Hsuan Lu; Pin-Yu Chen; Chia-Mu Yu Low Frequency Adversarial Perturbation.Chuan Guo; Jared S. Frank; Kilian Q. Weinberger 2018-09-23 Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.Pin-Yu Chen; Bhanukiran Vinzamuri; Sijia Liu 2018-09-22 Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.Bao Wang; Alex T. Lin; Wei Zhu; Penghang Yin; Andrea L. Bertozzi; Stanley J. Osher 2018-09-21 Unrestricted Adversarial Examples.Tom B. Brown; Nicholas Carlini; Chiyuan Zhang; Catherine Olsson; Paul Christiano; Ian Goodfellow Adversarial Binaries for Authorship Identification.Xiaozhu Meng; Barton P. Miller; Somesh Jha 2018-09-20 Playing the Game of Universal Adversarial Perturbations.Julien Perolat; Mateusz Malinowski; Bilal Piot; Olivier Pietquin 2018-09-19 Efficient Formal Safety Analysis of Neural Networks.Shiqi Wang; Kexin Pei; Justin Whitehouse; Junfeng Yang; Suman Jana Adversarial Training Towards Robust Multimedia Recommender System.Jinhui Tang; Xiaoyu Du; Xiangnan He; Fajie Yuan; Qi Tian; Tat-Seng Chua Generating 3D Adversarial Point Clouds.Chong Xiang; Charles R. Qi; Bo Li 2018-09-17 HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples.Deqiang Li; Ramesh Baral; Tao Li; Han Wang; Qianmu Li; Shouhuai Xu Robustness Guarantees for Bayesian Inference with Gaussian Processes.Luca Cardelli; Marta Kwiatkowska; Luca Laurenti; Andrea Patane 2018-09-16 Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches.Yuezun Li; Xiao Bian; Ming-ching Chang; Siwei Lyu Robust Adversarial Perturbation on Deep Proposal-based Models.Yuezun Li; Daniel Tian; Ming-Ching Chang; Xiao Bian; Siwei Lyu 2018-09-13 Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks.Siyue Wang; Xiao Wang; Pu Zhao; Wujie Wen; David Kaeli; Peter Chin; Xue Lin Query-Efficient Black-Box Attack by Active Learning.Pengcheng Li; Jinfeng Yi; Lijun Zhang Adversarial Examples: Opportunities and Challenges.Jiliang Zhang; Chen Li 2018-09-11 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions.Yusuke Tsuzuku; Issei Sato Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition.Krishan Rajaratnam; Kunal Shah; Jugal Kalita Humans can decipher adversarial images.Zhenglong Zhou; Chaz Firestone 2018-09-09 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure.Saeed Mahloujifar; Dimitrios I. Diochnos; Mohammad Mahmoody Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability.Kai Y. Xiao; Vincent Tjeng; Nur Muhammad Shafiullah; Aleksander Madry Certified Adversarial Robustness with Additive Noise.Bai Li; Changyou Chen; Wenlin Wang; Lawrence Carin 2018-09-08 Towards Query Efficient Black-box Attacks: An Input-free Perspective.Yali Du; Meng Fang; Jinfeng Yi; Jun Cheng; Dacheng Tao Fast Gradient Attack on Network Embedding.Jinyin Chen; Yangyang Wu; Xuanheng Xu; Yixian Chen; Haibin Zheng; Qi Xuan Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples.Dan Peng; Zizhan Zheng; Xiaofeng Zhang Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks.Ambra Demontis; Marco Melis; Maura Pintor; Matthew Jagielski; Battista Biggio; Alina Oprea; Cristina Nita-Rotaru; Fabio Roli 2018-09-07 A Deeper Look at 3D Shape Classifiers.Jong-Chyi Su; Matheus Gadelha; Rui Wang; Subhransu Maji Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer.Alvin Chan; Lei Ma; Felix Juefei-Xu; Xiaofei Xie; Yang Liu; Yew Soon Ong Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering.Eric Wallace; Pedro Rodriguez; Shi Feng; Ikuya Yamada; Jordan Boyd-Graber Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval.Zhedong Zheng; Liang Zheng; Yi Yang; Fei Wu 2018-09-06 Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models.Tong Niu; Mohit Bansal Are adversarial examples inevitable?Ali Shafahi; W. Ronny Huang; Christoph Studer; Soheil Feizi; Tom Goldstein IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection.Zilong Lin; Yong Shi; Zhi Xue Adversarial Reprogramming of Text Classification Neural Networks.Paarth Neekhara; Shehzeen Hussain; Shlomo Dubnov; Farinaz Koushanfar 2018-09-05 Bridging machine learning and cryptography in defence against adversarial attacks.Olga Taran; Shideh Rezaeifar; Slava Voloshynovskiy 2018-09-04 Adversarial Attacks on Node Embeddings.Aleksandar Bojchevski; Stephan Günnemann 2018-09-03 HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition.Zirui Xu; Fuxun Yu; Chenchen Liu; Xiang Chen Adversarial Attack Type I: Cheat Classifiers by Significant Changes.Sanli Tang; Xiaolin Huang; Mingjian Chen; Chengjin Sun; Jie Yang 2018-08-31 MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks.Siwakorn Srisakaokul; Yuhao Zhang; Zexuan Zhong; Wei Yang; Tao Xie; Bo Li 2018-08-28 DLFuzz: Differential Fuzzing Testing of Deep Learning Systems.Jianmin Guo; Yu Jiang; Yue Zhao; Quan Chen; Jiaguang Sun All You Need is "Love": Evading Hate-speech Detection.Tommi Gröndahl; Luca Pajola; Mika Juuti; Mauro Conti; N. Asokan Lipschitz regularized Deep Neural Networks generalize and are adversarially robust.Chris Finlay; Jeff Calder; Bilal Abbasi; Adam Oberman 2018-08-27 Targeted Nonlinear Adversarial Perturbations in Images and Videos.Roberto Rey-de-Castro; Herschel Rabitz Generalisation in humans and deep neural networks.Robert Geirhos; Carlos R. Medina Temme; Jonas Rauber; Heiko H. Schütt; Matthias Bethge; Felix A. Wichmann 2018-08-26 Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.Pasquale Minervini; Sebastian Riedel 2018-08-25 Guiding Deep Learning System Testing using Surprise Adequacy.Jinhan Kim; Robert Feldt; Shin Yoo Analysis of adversarial attacks against CNN-based image forgery detectors.Diego Gragnaniello; Francesco Marra; Giovanni Poggi; Luisa Verdoliva 2018-08-24 Is Machine Learning in Power Systems Vulnerable?Yize Chen; Yushi Tan; Deepjyoti Deka 2018-08-23 Maximal Jacobian-based Saliency Map Attack.Rey Wiyatno; Anqi Xu Adversarial Attacks on Deep-Learning Based Radio Signal Classification.Meysam Sadeghi; Erik G. Larsson 2018-08-20 Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.Mahdieh Abbasi; Arezoo Rajabi; Azadeh Sadat Mozafari; Rakesh B. Bobba; Christian Gagne Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples.George A. Adam; Petr Smirnov; David Duvenaud; Benjamin Haibe-Kains; Anna Goldenberg 2018-08-17 Reinforcement Learning for Autonomous Defence in Software-Defined Networking.Yi Han; Benjamin I. P. Rubinstein; Tamas Abraham; Tansu Alpcan; Vel Olivier De; Sarah Erfani; David Hubczenko; Christopher Leckie; Paul Montague 2018-08-16 Mitigation of Adversarial Attacks through Embedded Feature Selection.Ziyi Bao; Luis Muñoz-González; Emil C. Lupu Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding.Lea Schönherr; Katharina Kohls; Steffen Zeiler; Thorsten Holz; Dorothea Kolossa Distributionally Adversarial Attack.Tianhang Zheng; Changyou Chen; Kui Ren 2018-08-10 Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection.Xiao Chen; Chaoran Li; Derui Wang; Sheng Wen; Jun Zhang; Surya Nepal; Yang Xiang; Kui Ren Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks.Fan Yang; Zhiyuan Chen 2018-08-08 Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer.Hsueh-Ti Derek Liu; Michael Tao; Chun-Liang Li; Derek Nowrouzezahrai; Alec Jacobson 2018-08-07 Data augmentation using synthetic data for time series classification with deep residual networks.Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller 2018-08-06 Adversarial Vision Challenge.Wieland Brendel; Jonas Rauber; Alexey Kurakin; Nicolas Papernot; Behar Veliqi; Marcel Salathé; Sharada P. Mohanty; Matthias Bethge Defense Against Adversarial Attacks with Saak Transform.Sibo Song; Yueru Chen; Ngai-Man Cheung; C. -C. Jay Kuo Gray-box Adversarial Training.Vivek B. S.; Konda Reddy Mopuri; R. Venkatesh Babu 2018-08-05 Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.Dong Su; Huan Zhang; Hongge Chen; Jinfeng Yi; Pin-Yu Chen; Yupeng Gao Structured Adversarial Attack: Towards General Implementation and Better Interpretability.Kaidi Xu; Sijia Liu; Pu Zhao; Pin-Yu Chen; Huan Zhang; Quanfu Fan; Deniz Erdogmus; Yanzhi Wang; Xue Lin 2018-08-04 Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection.Raghav Gurbaxani; Shivank Mishra ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples.Xinbo Liu; Jiliang Zhang; Yaping Lin; He Li 2018-08-03 Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions.Konda Reddy Mopuri; Phani Krishna Uppala; R. Venkatesh Babu DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes.Mehmet Sinan Inci; Thomas Eisenbarth; Berk Sunar 2018-07-31 EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report).Yujie Ji; Xinyang Zhang; Ting Wang 2018-07-27 Rob-GAN: Generator, Discriminator, and Adversarial Attacker.Xuanqing Liu; Cho-Jui Hsieh 2018-07-26 A general metric for identifying adversarial images.Siddharth Krishna Kumar Evaluating and Understanding the Robustness of Adversarial Logit Pairing.Logan Engstrom; Andrew Ilyas; Anish Athalye 2018-07-25 HiDDeN: Hiding Data With Deep Networks.Jiren Zhu; Russell Kaplan; Justin Johnson; Li Fei-Fei Limitations of the Lipschitz constant as a defense against adversarial examples.Todd Huster; Cho-Yu Jason Chiang; Ritu Chadha Unbounded Output Networks for Classification.Stefan Elfwing; Eiji Uchibe; Kenji Doya 2018-07-24 Contrastive Video Representation Learning via Adversarial Perturbations.Jue Wang; Anoop Cherian 2018-07-21 Simultaneous Adversarial Training - Learn from Others Mistakes.Zukang Liao 2018-07-20 Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors.Andrew Ilyas; Logan Engstrom; Aleksander Madry Physical Adversarial Examples for Object Detectors.Kevin Eykholt; Ivan Evtimov; Earlence Fernandes; Bo Li; Amir Rahmati; Florian Tramer; Atul Prakash; Tadayoshi Kohno; Dawn Song 2018-07-18 Harmonic Adversarial Attack Method.Wen Heng; Shuchang Zhou; Tingting Jiang 2018-07-17 Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding.Tong Chen; Wenjia Niu; Yingxiao Xiang; Xiaoxuan Bai; Jiqiang Liu; Zhen Han; Gang Li Motivating the Rules of the Game for Adversarial Example Research.Justin Gilmer; Ryan P. Adams; Ian Goodfellow; David Andersen; George E. Dahl Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions.Adnan Siraj Rakin; Jinfeng Yi; Boqing Gong; Deliang Fan 2018-07-16 Online Robust Policy Learning in the Presence of Unknown Adversaries.Aaron J. Havens; Zhanhong Jiang; Soumik Sarkar Manifold Adversarial Learning.Shufei Zhang; Kaizhu Huang; Jianke Zhu; Yang Liu 2018-07-12 Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach.Minhao Cheng; Thong Le; Pin-Yu Chen; Jinfeng Yi; Huan Zhang; Cho-Jui Hsieh 2018-07-11 With Friends Like These, Who Needs Adversaries?Saumya Jetley; Nicholas A. Lord; Philip H. S. Torr 2018-07-10 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.Kimin Lee; Kibok Lee; Honglak Lee; Jinwoo Shin A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees.Min Wu; Matthew Wicker; Wenjie Ruan; Xiaowei Huang; Marta Kwiatkowska Attack and defence in cellular decision-making: lessons from machine learning.Thomas J. Rademaker; Emmanuel Bengio; Paul François 2018-07-09 Adaptive Adversarial Attack on Scene Text Recognition.Xiaoyong Yuan; Pan He; Xiaolin Andy Li; Dapeng Oliver Wu 2018-07-08 Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks.Saeid Asgari Taghanaki; Arkadeep Das; Ghassan Hamarneh 2018-07-05 Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness.Priyadarshini Panda; Kaushik Roy 2018-07-04 Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.Dan Hendrycks; Thomas G. Dietterich 2018-07-03 Local Gradients Smoothing: Defense against localized adversarial attacks.Muzammal Naseer; Salman H. Khan; Fatih Porikli Adversarial Robustness Toolbox v1.0.0.Maria-Irina Nicolae; Mathieu Sinn; Minh Ngoc Tran; Beat Buesser; Ambrish Rawat; Martin Wistuba; Valentina Zantedeschi; Nathalie Baracaldo; Bryant Chen; Heiko Ludwig; Ian M. Molloy; Ben Edwards 2018-07-02 Adversarial Perturbations Against Real-Time Video Classification Systems.Shasha Li; Ajaya Neupane; Sujoy Paul; Chengyu Song; Srikanth V. Krishnamurthy; Amit K. Roy Chowdhury; Ananthram Swami 2018-07-01 Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification.Xinhan Di; Pengqian Yu; Meng Tian 2018-06-29 Adversarial Examples in Deep Learning: Characterization and Divergence.Wenqi Wei; Ling Liu; Margaret Loper; Stacey Truex; Lei Yu; Mehmet Emre Gursoy; Yanzhao Wu 2018-06-28 Adversarial Reprogramming of Neural Networks.Gamaleldin F. Elsayed; Ian Goodfellow; Jascha Sohl-Dickstein 2018-06-27 Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning.Jasjeet Dhaliwal; Saurabh Shintre Customizing an Adversarial Example Generator with Class-Conditional GANs.Shih-hong Tsai 2018-06-25 Exploring Adversarial Examples: Patterns of One-Pixel Attacks.David Kügler; Alexander Distergoft; Arjan Kuijper; Anirban Mukhopadhyay 2018-06-23 Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions.Alex Kouzemtchenko On Adversarial Examples for Character-Level Neural Machine Translation.Javid Ebrahimi; Daniel Lowd; Dejing Dou Evaluation of Momentum Diverse Input Iterative Fast Gradient Sign Method (M-DI2-FGSM) Based Attack Method on MCS 2018 Adversarial Attacks on Black Box Face Recognition System.Md Ashraful Alam Milton 2018-06-21 Detection based Defense against Adversarial Examples from the Steganalysis Point of View.Jiayang Liu; Weiming Zhang; Yiwei Zhang; Dongdong Hou; Yujia Liu; Hongyue Zha; Nenghai Yu 2018-06-20 Gradient Adversarial Training of Neural Networks.Ayan Sinha; Zhao Chen; Vijay Badrinarayanan; Andrew Rabinovich Combinatorial Testing for Deep Learning Systems.Lei Ma; Fuyuan Zhang; Minhui Xue; Bo Li; Yang Liu; Jianjun Zhao; Yadong Wang 2018-06-19 On the Learning of Deep Local Features for Robust Face Spoofing Detection.Souza Gustavo Botelho de; João Paulo Papa; Aparecido Nilceu Marana Built-in Vulnerabilities to Imperceptible Adversarial Perturbations.Thomas Tanay; Jerone T. A. Andrews; Lewis D. Griffin 2018-06-15 Non-Negative Networks Against Adversarial Attacks.William Fleshman; Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean 2018-06-14 Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data.Jacson Rodrigues Correia-Silva; Rodrigo F. Berriel; Claudine Badue; Souza Alberto F. de; Thiago Oliveira-Santos 2018-06-13 Hierarchical interpretations for neural network predictions.Chandan Singh; W. James Murdoch; Bin Yu Manifold Mixup: Better Representations by Interpolating Hidden States.Vikas Verma; Alex Lamb; Christopher Beckham; Amir Najafi; Ioannis Mitliagkas; Aaron Courville; David Lopez-Paz; Yoshua Bengio 2018-06-12 Adversarial Attacks on Variational Autoencoders.George Gondim-Ribeiro; Pedro Tabacof; Eduardo Valle Ranking Robustness Under Adversarial Document Manipulations.Gregory Goren; Oren Kurland; Moshe Tennenholtz; Fiana Raiber 2018-06-11 Defense Against the Dark Arts: An overview of adversarial example security research and future research directions.Ian Goodfellow 2018-06-08 Monge blunts Bayes: Hardness Results for Adversarial Training.Zac Cranko; Aditya Krishna Menon; Richard Nock; Cheng Soon Ong; Zhan Shi; Christian Walder 2018-06-07 Revisiting Adversarial Risk.Arun Sai Suggala; Adarsh Prasad; Vaishnavh Nagarajan; Pradeep Ravikumar Training Augmentation with Adversarial Examples for Robust Speech Recognition.Sining Sun; Ching-Feng Yeh; Mari Ostendorf; Mei-Yuh Hwang; Lei Xie 2018-06-06 Adversarial Attack on Graph Structured Data.Hanjun Dai; Hui Li; Tian Tian; Xin Huang; Lin Wang; Jun Zhu; Le Song Adversarial Regression with Multiple Learners.Liang Tong; Sixie Yu; Scott Alfeld; Yevgeniy Vorobeychik Killing four birds with one Gaussian process: the relation between different test-time attacks.Kathrin Grosse; Michael T. Smith; Michael Backes 2018-06-05 DPatch: An Adversarial Patch Attack on Object Detectors.Xin Liu; Huanrui Yang; Ziwei Liu; Linghao Song; Hai Li; Yiran Chen 2018-06-04 Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise.Vahid Behzadan; Arslan Munir An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks.Chirag Agarwal; Bo Dong; Dan Schonfeld; Anthony Hoogs PAC-learning in the presence of evasion adversaries.Daniel Cullina; Arjun Nitin Bhagoji; Prateek Mittal 2018-06-02 Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks.Yarin Gal; Lewis Smith Detecting Adversarial Examples via Key-based Network.Pinlong Zhao; Zhouyu Fu; Ou wu; Qinghua Hu; Jun Wang 2018-05-31 PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks.Jan Svoboda; Jonathan Masci; Federico Monti; Michael M. Bronstein; Leonidas Guibas Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders.Partha Ghosh; Arpan Losalka; Michael J Black Scaling provable adversarial defenses.Eric Wong; Frank R. Schmidt; Jan Hendrik Metzen; J. Zico Kolter Sequential Attacks on Agents for Long-Term Adversarial Goals.Edgar Tretschk; Seong Joon Oh; Mario Fritz Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data.Puyudi Yang; Jianbo Chen; Cho-Jui Hsieh; Jane-Ling Wang; Michael I. Jordan 2018-05-30 Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.Avishek Joey Bose; Parham Aarabi ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio.Nilaksh Das; Madhuri Shanbhogue; Shang-Tse Chen; Li Chen; Michael E. Kounavis; Duen Horng Chau Robustifying Models Against Adversarial Attacks by Langevin Dynamics.Vignesh Srinivasan; Arturo Marban; Klaus-Robert Müller; Wojciech Samek; Shinichi Nakajima Robustness May Be at Odds with Accuracy.Dimitris Tsipras; Shibani Santurkar; Logan Engstrom; Alexander Turner; Aleksander Madry 2018-05-29 AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks.Chun-Chen Tu; Paishun Ting; Pin-Yu Chen; Sijia Liu; Huan Zhang; Jinfeng Yi; Cho-Jui Hsieh; Shin-Ming Cheng Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals.Yaniv Romano; Aviad Aberdam; Jeremias Sulam; Michael Elad Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization.Salman Salamatian; Wasim Huleihel; Ahmad Beirami; Asaf Cohen; Muriel Médard 2018-05-28 Adversarial Examples in Remote Sensing.Wojciech Czaja; Neil Fendley; Michael Pekala; Christopher Ratto; I-Jeng Wang GenAttack: Practical Black-box Attacks with Gradient-Free Optimization.Moustafa Alzantot; Yash Sharma; Supriyo Chakraborty; Huan Zhang; Cho-Jui Hsieh; Mani Srivastava 2018-05-27 Defending Against Adversarial Attacks by Leveraging an Entire GAN.Gokula Krishnan Santhanam; Paulina Grnarova 2018-05-25 Training verified learners with learned verifiers.Krishnamurthy Dvijotham; Sven Gowal; Robert Stanforth; Relja Arandjelovic; Brendan O'Donoghue; Jonathan Uesato; Pushmeet Kohli Adversarial examples from computational constraints.Sébastien Bubeck; Eric Price; Ilya Razenshteyn 2018-05-24 Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness.Carlos Eduardo Rosar Kos Lassance; Vincent Gripon; Antonio Ortega 2018-05-23 Anonymizing k-Facial Attributes via Adversarial Perturbations.Saheb Chhabra; Richa Singh; Mayank Vatsa; Gaurav Gupta Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients.Fuxun Yu; Zirui Xu; Yanzhi Wang; Chenchen Liu; Xiang Chen Towards the first adversarially robust neural network model on MNIST.Lukas Schott; Jonas Rauber; Matthias Bethge; Wieland Brendel 2018-05-22 Adversarially Robust Training through Structured Gradient Regularization.Kevin Roth; Aurelien Lucchi; Sebastian Nowozin; Thomas Hofmann 2018-05-21 Adversarial Noise Layer: Regularize Neural Network By Adding Noise.Zhonghui You; Jinmian Ye; Kunming Li; Zenglin Xu; Ping Wang Adversarial Attacks on Neural Networks for Graph Data.Daniel Zügner; Amir Akbarnejad; Stephan Günnemann Constructing Unrestricted Adversarial Examples with Generative Models.Yang Song; Rui Shu; Nate Kushman; Stefano Ermon Bidirectional Learning for Robust Neural Networks.Sidney Pontes-Filho; Marcus Liwicki 2018-05-20 Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference.Ruying Bao; Sihang Liang; Qingcan Wang Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks.Jiefeng Chen; Xi Wu; Vaibhav Rastogi; Yingyu Liang; Somesh Jha Targeted Adversarial Examples for Black Box Audio Systems.Rohan Taori; Amog Kamsetty; Brenton Chu; Nikita Vemuri 2018-05-17 Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.Pouya Samangouei; Maya Kabkab; Rama Chellappa 2018-05-16 Towards Robust Neural Machine Translation.Yong Cheng; Zhaopeng Tu; Fandong Meng; Junjie Zhai; Yang Liu 2018-05-14 Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing.Jingyi Wang; Jun Sun; Peixin Zhang; Xinyu Wang 2018-05-12 Curriculum Adversarial Training.Qi-Zhi Cai; Min Du; Chang Liu; Dawn Song AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning.Jinyuan Jia; Neil Zhenqiang Gong 2018-05-11 Breaking Transferability of Adversarial Samples with Randomness.Yan Zhou; Murat Kantarcioglu; Bowei Xi 2018-05-09 On Visual Hallmarks of Robustness to Adversarial Malware.Alex Huang; Abdullah Al-Dujaili; Erik Hemberg; Una-May O'Reilly Robust Classification with Convolutional Prototype Learning.Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 2018-05-08 Interpretable Adversarial Perturbation in Input Embedding Space for Text.Motoki Sato; Jun Suzuki; Hiroyuki Shindo; Yuji Matsumoto 2018-05-05 A Counter-Forensic Method for CNN-Based Camera Model Identification.David Güera; Yu Wang; Luca Bondi; Paolo Bestagini; Stefano Tubaro; Edward J. Delp 2018-05-03 Siamese networks for generating adversarial examples.Mandar Kulkarni; Aria Abubakar 2018-04-30 Concolic Testing for Deep Neural Networks.Youcheng Sun; Min Wu; Wenjie Ruan; Xiaowei Huang; Marta Kwiatkowska; Daniel Kroening How Robust are Deep Neural Networks?Biswa Sengupta; Karl J. Friston Adversarially Robust Generalization Requires More Data.Ludwig Schmidt; Shibani Santurkar; Dimitris Tsipras; Kunal Talwar; Aleksander Mądry 2018-04-29 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems.Amin Ghafouri; Yevgeniy Vorobeychik; Xenofon Koutsoukos 2018-04-28 Formal Security Analysis of Neural Networks using Symbolic Intervals.Shiqi Wang; Kexin Pei; Justin Whitehouse; Junfeng Yang; Suman Jana 2018-04-25 Towards Fast Computation of Certified Robustness for ReLU Networks.Tsui-Wei Weng; Huan Zhang; Hongge Chen; Zhao Song; Cho-Jui Hsieh; Duane Boning; Inderjit S. Dhillon; Luca Daniel 2018-04-23 Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning.Mahdieh Abbasi; Arezoo Rajabi; Christian Gagné; Rakesh B. Bobba Siamese Generative Adversarial Privatizer for Biometric Data.Witold Oleszkiewicz; Peter Kairouz; Karol Piczak; Ram Rajagopal; Tomasz Trzcinski Black-box Adversarial Attacks with Limited Queries and Information.Andrew Ilyas; Logan Engstrom; Anish Athalye; Jessy Lin VectorDefense: Vectorization as a Defense to Adversarial Examples.Vishaal Munusamy Kabilan; Brandon Morris; Anh Nguyen Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers.Ishai Rosenberg; Asaf Shabtai; Yuval Elovici; Lior Rokach 2018-04-21 Generating Natural Language Adversarial Examples.Moustafa Alzantot; Yash Sharma; Ahmed Elgohary; Bo-Jhang Ho; Mani Srivastava; Kai-Wei Chang 2018-04-20 Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size.Ian Goodfellow Learning More Robust Features with Adversarial Training.Shuangtao Li; Yuanke Chen; Yanlin Peng; Lin Bai ADef: an Iterative Algorithm to Construct Adversarial Deformations.Rima Alaifari; Giovanni S. Alberti; Tandri Gauksson 2018-04-19 Attacking Convolutional Neural Network using Differential Evolution.Jiawei Su; Danilo Vasconcellos Vargas; Kouichi Sakurai Semantic Adversarial Deep Learning.Tommaso Dreossi; Somesh Jha; Sanjit A. Seshia 2018-04-18 Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components.Cumhur Erkan Tuncali; Georgios Fainekos; Hisahiro Ito; James Kapinski Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input.Youmna Farag; Helen Yannakoudakis; Ted Briscoe 2018-04-17 Robust Machine Comprehension Models via Adversarial Training.Yicheng Wang; Mohit Bansal Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.Mohit Iyyer; John Wieting; Kevin Gimpel; Luke Zettlemoyer 2018-04-16 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm.Wenjie Ruan; Min Wu; Youcheng Sun; Xiaowei Huang; Daniel Kroening; Marta Kwiatkowska ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector.Shang-Tse Chen; Cory Cornelius; Jason Martin; Duen Horng Chau 2018-04-14 On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples.Pei-Hsuan Lu; Pin-Yu Chen; Kang-Cheng Chen; Chia-Mu Yu Adversarial Attacks Against Medical Deep Learning Systems.Samuel G. Finlayson; Hyung Won Chung; Isaac S. Kohane; Andrew L. Beam 2018-04-11 Detecting Malicious PowerShell Commands using Deep Neural Networks.Danny Hendler; Shay Kels; Amir Rubin 2018-04-10 On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses.Anish Athalye; Nicholas Carlini 2018-04-09 Adversarial Training Versus Weight Decay.Angus Galloway; Thomas Tanay; Graham W. Taylor An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks.Pu Zhao; Sijia Liu; Yanzhi Wang; Xue Lin 2018-04-08 Adaptive Spatial Steganography Based on Probability-Controlled Adversarial Examples.Sai Ma; Qingxiao Guan; Xianfeng Zhao; Yaqi Liu 2018-04-06 Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.Alex Lamb; Jonathan Binas; Anirudh Goyal; Dmitriy Serdyuk; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio 2018-04-04 Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks.Neale Ratzlaff; Li Fuxin 2018-03-30 Adversarial Attacks and Defences Competition.Alexey Kurakin; Ian Goodfellow; Samy Bengio; Yinpeng Dong; Fangzhou Liao; Ming Liang; Tianyu Pang; Jun Zhu; Xiaolin Hu; Cihang Xie; Jianyu Wang; Zhishuai Zhang; Zhou Ren; Alan Yuille; Sangxia Huang; Yao Zhao; Yuzhe Zhao; Zhonglin Han; Junjiajia Long; Yerkebulan Berdibekov; Takuya Akiba; Seiya Tokui; Motoki Abe 2018-03-29 Security Consideration For Deep Learning-Based Image Forensics.Wei Zhao; Pengpeng Yang; Rongrong Ni; Yao Zhao; Haorui Wu 2018-03-28 Defending against Adversarial Images using Basis Functions Transformations.Uri Shaham; James Garritano; Yutaro Yamada; Ethan Weinberger; Alex Cloninger; Xiuyuan Cheng; Kelly Stanton; Yuval Kluger The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples.Ayse Elvan Aydemir; Alptekin Temizel; Tugba Taskaya Temizel 2018-03-26 Bypassing Feature Squeezing by Increasing Adversary Strength.Yash Sharma; Pin-Yu Chen On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples.Pei-Hsuan Lu; Pin-Yu Chen; Chia-Mu Yu Clipping free attacks against artificial neural networks.Boussad Addad; Jerome Kodjabachian; Christophe Meyer 2018-03-24 Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks.Tegjyot Singh Sethi; Mehmed Kantardzic; Joung Woo Ryu A Dynamic-Adversarial Mining Approach to the Security of Machine Learning.Tegjyot Singh Sethi; Mehmed Kantardzic; Lingyu Lyua; Jiashun Chen An Overview of Vulnerabilities of Voice Controlled Systems.Yuan Gong; Christian Poellabauer 2018-03-23 Generalizability vs. Robustness: Adversarial Examples for Medical Imaging.Magdalini Paschali; Sailesh Conjeti; Fernando Navarro; Nassir Navab CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography.Weixuan Tang; Bin Li; Shunquan Tan; Mauro Barni; Jiwu Huang Detecting Adversarial Perturbations with Saliency.Chiliang Zhang; Zhimou Yang; Zuochang Ye Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization.Daniel Jakubovitz; Raja Giryes 2018-03-22 Understanding Measures of Uncertainty for Adversarial Example Detection.Lewis Smith; Yarin Gal 2018-03-21 Adversarial Defense based on Structure-to-Signal Autoencoders.Joachim Folz; Sebastian Palacio; Joern Hees; Damian Borth; Andreas Dengel Task dependent Deep LDA pruning of neural networks.Qing Tian; Tal Arbel; James J. Clark 2018-03-20 DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems.Lei Ma; Felix Juefei-Xu; Fuyuan Zhang; Ji