Regularized Robustly Reliable Learners and Instance Targeted Attacks
Authors: Avrim Blum, Donya Saless | Published: 2024-10-14 | Updated: 2025-05-08
Robust Optimization
Robust Attribution Regularization
Authors: Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha | Published: 2019-05-23 | Updated: 2019-10-26
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Authors: Dan Hendrycks, Thomas Dietterich | Published: 2019-03-28
Improving Adversarial Robustness via Guided Complement Entropy
Authors: Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-23 | Updated: 2019-08-07
SLSGD: Secure and Efficient Distributed On-device Machine Learning
Authors: Cong Xie, Sanmi Koyejo, Indranil Gupta | Published: 2019-03-16 | Updated: 2019-10-01
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
Authors: Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar | Published: 2018-12-15
Learning to Defend by Learning to Attack
Authors: Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao | Published: 2018-11-03 | Updated: 2021-05-02
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Authors: Pang Wei Koh, Jacob Steinhardt, Percy Liang | Published: 2018-11-02 | Updated: 2021-12-03