[c0deb0t]

Adversarial attacks is a super interesting field, but unfortunately I feel that a lot of papers are just incremental attack or defense improvements like a cat-and-mouse game. I originally did some research on 3D point cloud attacks, but later stopped because making super successful attacks (eg., attacks with higher success rates than all the previous techniques for some very specific task) don't really help us understand that much more about neural nets, its just optimizing a metric for publishing papers. This kind of research is quite common, even at top conferences.

Despite this, recently, we made a 1 minute explainer video introducing adversarial attacks on neural nets as a submission for the Veritasium contest: https://youtu.be/hNuhdf-fL_g Give it a watch!