Reflecting on “Towards Evaluating the Robustness of Neural Networks”
A few thoughts about the paper that brought me into the field of adversarial machine learning.
Rapid Iteration in Machine Learning Research
I wrote a tool to help me quickly iterate on research ideas by snapshoting Python state.
A Case of Plagarism in Machine Learning
A recent paper has copied a bunch of text from over a dozen prior papers. This is bad.
Multiplexing Circuits on the Game of Life - Part 5
Wherein I yet again re-design my game of life circuit setup and make things even more efficient.
Research Paper Release Checklist
Steps to take to reduce the likelihood of embarrassing errors when submitting papers, uploading research papers to arXiv, or submitting final camera-ready papers.
A Simple CPU on the Game of Life - Part 4
A full Turing complete Unlimited Register Machine implemented on top of the game of life.
Improved Logic Gates on Conway's Game of Life - Part 3
more efficient digital logic gates constructed on top of the game of life.
another small pointless game building on my prior doom clone.
InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place
InstaHide, a recent scheme that claims to train neural networks with privacy, is completely broken but was awarded the Bell Labs Prize, 2nd place.
Screen Recording of Breaking a Defense to Adversarial Examples
I broke another defense, but this time recorded my screen the entire (2.5) hour session it took.
An Introduction to Circuit Design on Conway's Game of Life - Part 2
Basic circuit design to build a 7-segment display using the AND/OR/NOT gates built last time.
Digital Logic Gates on Conway's Game of Life - Part 1
Constructing game of life “gadgets” that act as digital logic gates, allowing Turing-complete computation.
Are Adversarial Example Defenses Improving?
A short collection of thoughts after writing a paper where we broke a dozen recent defenses to adversarial examples, again.
exactly what it sounds like; an entry for js13k 2019.
because it's possible.
List of All Adversarial Example Papers
: a continuously-updating
list of all 1000+
papers written on adversarial examples available on arxiv.
Adversarial Machine Learning Reading List
: a collection of papers I recommend reading for those interested in studying
adversarial machine learning (for the time being, focusing on the sub-field of
Advice on Evaluating Adversarial Example Defenses
: recommendations for how to
perform adversarial example defense evaluations (or how to determine if an evaluation
in a defense paper is adequate).