TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Authors: Wang YuHang, Junkang Guo, Aolei Liu, Kaihao Wang, Zaitong Wu, Zhenyu Liu, Wenfei Yin, Jian Liu | Published: 2025-03-02 | Updated: 2025-03-21
Robustness
Reinforcement Unlearning
Authors: Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue | Published: 2023-12-26 | Updated: 2024-09-09
Understanding Overfitting in Adversarial Training via Kernel Regression
Authors: Teng Zhang, Kang Li | Published: 2023-04-13 | Updated: 2023-04-19
Reliable learning in challenging environments
Authors: Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma | Published: 2023-04-06 | Updated: 2023-10-29
Design of secure and robust cognitive system for malware detection
Authors: Sanket Shukla | Published: 2022-08-03
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection
Authors: Abderrahmen Amich, Ata Kaboudi, Birhanu Eshete | Published: 2022-06-15
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Authors: Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin | Published: 2022-06-14 | Updated: 2024-02-02
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Authors: Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song | Published: 2022-06-09 | Updated: 2022-06-29
Building Robust Ensembles via Margin Boosting
Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Authors: Dongyoon Yang, Insung Kong, Yongdai Kim | Published: 2022-06-07 | Updated: 2023-06-01