Hacking AI - additional Lecturesl

Hacking AI - materials.md

Intriguing properties of neural networks (2013)

Explaining and harnessing adversarial examples (2014)

Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples (2016)

Towards evaluating the robustness of neural networks (2017)

Synthesizing robust adversarial examples (2018)

Adversarial Examples - A Complete Characterisation of the Phenomenon (2019)

One Pixel Attack for Fooling Deep Neural Networks (2019)

(Lecture 16 | Adversarial Examples and Adversarial Training

Is "Adversarial Examples" an Adversarial Example?

Adversarial examples in the physical world

https://www.youtube.com/watch?v=zQ_uMenoBCk&feature=youtu.be

https://arxiv.org/abs/1607.02533