Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications
Authors: Heng Xu, Tianqing Zhu, Wanlei Zhou | Published: 2024-10-14
Loss Term
Regularization properties of adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön | Published: 2023-10-16
Outlier Robust Adversarial Training
Authors: Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu | Published: 2023-09-10
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Authors: Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang | Published: 2023-09-02
Byzantine-Robust Clustered Federated Learning
Authors: Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni | Published: 2023-06-01
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Authors: Dingfan Chen, Ning Yu, Mario Fritz | Published: 2022-07-12
Differentially Private Shapley Values for Data Evaluation
Authors: Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar | Published: 2022-06-01
Privacy for Free: How does Dataset Condensation Help Privacy?
Authors: Tian Dong, Bo Zhao, Lingjuan Lyu | Published: 2022-06-01
A Blessing of Dimensionality in Membership Inference through Regularization
Authors: Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk | Published: 2022-05-27 | Updated: 2023-04-14
Surprises in adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön | Published: 2022-05-25 | Updated: 2022-10-20