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
Poisoning
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
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
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
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
Authors: Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang | Published: 2020-06-20 | Updated: 2020-06-23
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
Authors: Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee | Published: 2020-06-18 | Updated: 2021-11-24
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Authors: Sai Praneeth Karimireddy, Lie He, Martin Jaggi | Published: 2020-06-16 | Updated: 2023-11-22
On Adversarial Bias and the Robustness of Fair Machine Learning
Authors: Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri | Published: 2020-06-15