A Tutorial On Attacking Dnns Using Adversarial Examples

Summary

This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including Workshop posters: - github.com/anlthms/nips-2017/blob/master/poster/ title: Distillation as a Defense to Lorentz Center RobustAI workshop. You know we can hack a neural network just feed an image of a cat to a neural network and it predicts A presentation by Eng. Mohammed Abdo about Project for ECS235A at UC Davis. We recreated the results from the recent research "Standard detectors aren't (currently) fooled ... Outline: 00:00 - Context and Motivations 06:24 - Background 15:08 - Related Works 25:02 - Proposed approach 39:50 ... Try it in your browser: kennysong.github.io/ An adversarial object from the paper "Synthesizing Robust Artificial neural networks are computer programs that try to approximate what the human brain does to solve problems  ...