Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Hengxiang Zhang, Qiang Hu, Hongxin Wei
Action editor: Junchi Yan

Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Hengxiang Zhang, Qiang Hu, Hongxin Wei
Action editor: Junchi Yan
NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria
Eason Yu, Tzu Hao Liu, Clement Louis Canonne et al.
Action editor: Ahmet Alacaoglu
New #TMLR-Paper-with-Video:
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generali...
Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe
Density-Scaled Regularization for Offline Reinforcement Learning
Jacky Xie, Nan Ye
Action editor: Yue Wang
Learning Structured Set Utility Functions with Contrastive Element Representations
Jayanth Bhargav, Younggil Chang, Mahsa Ghasemi, Shreyas Sundaram
Action editor: Sebastian Tschiatschek