Wasserstein Differential Privacy
Authors: Chengyi Yang, Jiayin Qi, Aimin Zhou | Published: 2024-01-23
Watermark Evaluation
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
Authors: Yifan Hao, Tong Zhang | Published: 2024-01-19 | Updated: 2024-01-25
Whispering Pixels: Exploiting Uninitialized Register Accesses in Modern GPUs
Authors: Frederik Dermot Pustelnik, Xhani Marvin Saß, Jean-Pierre Seifert | Published: 2024-01-16
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Authors: Nicholas Konz, Maciej A. Mazurowski | Published: 2024-01-16 | Updated: 2024-02-21
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
Authors: Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li | Published: 2024-01-14
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
Authors: Tianxiu Xie, Keke Gai, Jing Yu, Liehuang Zhu | Published: 2024-01-11
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Authors: Rachel Redberg, Antti Koskela, Yu-Xiang Wang | Published: 2023-12-31
Can you See me? On the Visibility of NOPs against Android Malware Detectors
Authors: Diego Soi, Davide Maiorca, Giorgio Giacinto, Harel Berger | Published: 2023-12-28
Optimizing watermarks for large language models
Authors: Bram Wouters | Published: 2023-12-28
Attack Tree Analysis for Adversarial Evasion Attacks
Authors: Yuki Yamaguchi, Toshiaki Aoki | Published: 2023-12-28