A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Authors: Idan Attias, Steve Hanneke, Yishay Mansour | Published: 2022-02-11 | Updated: 2024-05-05
文献データベース
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
Authors: Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford, Zhiwei Steven Wu | Published: 2022-02-10 | Updated: 2022-07-15
Case-based reasoning for rare events prediction on strategic sites
Authors: Vincent Vidal, Marie-Caroline Corbineau, Tugdual Ceillier | Published: 2022-02-10
PrivFair: a Library for Privacy-Preserving Fairness Auditing
Authors: Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi | Published: 2022-02-08 | Updated: 2022-05-23
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start
Authors: Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo | Published: 2022-02-07 | Updated: 2023-11-16
Membership Inference Attacks and Defenses in Neural Network Pruning
Authors: Xiaoyong Yuan, Lan Zhang | Published: 2022-02-07 | Updated: 2022-08-03
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data
Authors: Guanhong Miao | Published: 2022-02-05 | Updated: 2022-07-20
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Authors: Wenxiao Wang, Alexander Levine, Soheil Feizi | Published: 2022-02-05 | Updated: 2022-07-14
Training Differentially Private Models with Secure Multiparty Computation
Authors: Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson Nascimento, Martine De Cock | Published: 2022-02-05 | Updated: 2022-09-01
Linear Model Against Malicious Adversaries with Local Differential Privacy
Authors: Guanhong Miao, A. Adam Ding, Samuel S. Wu | Published: 2022-02-05 | Updated: 2022-06-29