Smooth Adversarial Training
Authors: Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le | Published: 2020-06-25 | Updated: 2021-07-11
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Authors: Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Oluwasanmi Koyejo, Bo Li | Published: 2020-06-25 | Updated: 2021-07-08
Subpopulation Data Poisoning Attacks
Authors: Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea | Published: 2020-06-24 | Updated: 2021-05-12
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
Authors: Jayanth Regatti, Hao Chen, Abhishek Gupta | Published: 2020-06-24 | Updated: 2020-12-07
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Authors: Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein | Published: 2020-06-23 | Updated: 2022-02-08
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Authors: Jinghui Chen, Quanquan Gu | Published: 2020-06-23 | Updated: 2020-09-05
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Authors: Cassidy Laidlaw, Sahil Singla, Soheil Feizi | Published: 2020-06-22 | Updated: 2021-07-04
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Authors: Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P Dickerson, Tom Goldstein | Published: 2020-06-22 | Updated: 2021-06-17
Learning to Generate Noise for Multi-Attack Robustness
Authors: Divyam Madaan, Jinwoo Shin, Sung Ju Hwang | Published: 2020-06-22 | Updated: 2021-06-24
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models
Authors: Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian | Published: 2020-06-21 | Updated: 2021-05-19