Provable Defenses Against Adversarial Examples

Title:

The research '

... White box vs Black box * 05:38

Haibin Wu, Songxiang Liu, Helen Meng, Hung-yi Lee, "

On Adaptive Attacks

[00:41:39]

Han Xu (Michigan State University); Yaxin Li (Michigan State University); Wei Jin (Michigan State University); Jiliang Tang ...

In this video I look into how researchers discovered AI illusions. I explain how

Adnan Rakin (Arizona State University, former MERL intern) presents our paper "Towards Universal

Adversarial Examples

Beat Buesser

USENIX Security '21 - SLAP: Improving Physical

DefCamp is the most important conference on Hacking & Information Security in Central and Eastern Europe, bringing hands-on ...

Authors: James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun ...

Following the recent adoption of deep neural networks (DNN) in a wide range of application fields,

Authors: Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon Description: A wide variety of works have explored the reason ...

Our code is available at https://colab.research.google.com/drive/1TEOijV9pcOI9NXT5DALdA-ap-YwvEymO?usp=sharing The ...

Nicholas Carlini (Google Brain) https://simons.berkeley.edu/talks/tbd-76 Frontiers of Deep Learning.

We'll discuss several strategies

A lecture that discusses