LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking
Authors: Yeganeh Aghamohammadi, Amin Rezaei | Published: 2024-02-06
Watermark Evaluation
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
Authors: Tan Sun, Junhong Lin | Published: 2024-02-06 | Updated: 2024-07-06
Verifiable evaluations of machine learning models using zkSNARKs
Authors: Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland | Published: 2024-02-05 | Updated: 2024-05-22
Wasserstein Differential Privacy
Authors: Chengyi Yang, Jiayin Qi, Aimin Zhou | Published: 2024-01-23
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