Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Authors: Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim | Published: 2019-07-23 | Updated: 2020-02-27
Adversarial Transferability
Gotta Catch ‘Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Authors: Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao | Published: 2019-04-18 | Updated: 2020-09-28
Robust Adversarial Learning via Sparsifying Front Ends
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-10-24 | Updated: 2021-05-25
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Authors: Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos | Published: 2018-10-23
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Authors: Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody | Published: 2018-09-09 | Updated: 2018-11-06
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples
Authors: Dan Peng, Zizhan Zheng, Xiaofeng Zhang | Published: 2018-09-08 | Updated: 2018-12-22
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense
Authors: Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki | Published: 2018-09-07
Adversarial Reprogramming of Text Classification Neural Networks
Authors: Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | Published: 2018-09-06 | Updated: 2019-08-15
Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Authors: Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang | Published: 2018-09-03 | Updated: 2019-07-22
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks
Authors: Chirag Agarwal, Bo Dong, Dan Schonfeld, Anthony Hoogs | Published: 2018-06-05 | Updated: 2018-06-06