Adversarially robust generalization theory via Jacobian regularization for deep neural networks
Authors: Dongya Wu, Xin Li | Published: 2024-12-17
ポイズニング
GLL: A Differentiable Graph Learning Layer for Neural Networks
Authors: Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi | Published: 2024-12-11
Optimal Defenses Against Gradient Reconstruction Attacks
Authors: Yuxiao Chen, Gamze Gürsoy, Qi Lei | Published: 2024-11-06
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
Authors: Isaac Baglin, Xiatian Zhu, Simon Hadfield | Published: 2024-11-05 | Updated: 2025-01-05
Federated Learning in Practice: Reflections and Projections
Authors: Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan McMahan, Daniel Ramage, Zheng Xu | Published: 2024-10-11
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
Authors: Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez | Published: 2024-10-11
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
Authors: Wassim Bouaziz, El-Mahdi El-Mhamdi, Nicolas Usunier | Published: 2024-10-09
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
Authors: Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue | Published: 2024-10-07
Federated Learning Nodes Can Reconstruct Peers’ Image Data
Authors: Ethan Wilson, Kai Yue, Chau-Wai Wong, Huaiyu Dai | Published: 2024-10-07
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective
Authors: Yixin Liu, Arielle Carr, Lichao Sun | Published: 2024-10-01