Holistic Adversarial Robustness of Deep Learning Models
Authors: Pin-Yu Chen, Sijia Liu | Published: 2022-02-15 | Updated: 2023-01-05
Local Differential Privacy for Federated Learning
Authors: M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertok, Ibrahim Khalil | Published: 2022-02-12 | Updated: 2022-08-03
Private Adaptive Optimization with Side Information
Authors: Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith | Published: 2022-02-12 | Updated: 2022-06-25
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Authors: Idan Attias, Steve Hanneke, Yishay Mansour | Published: 2022-02-11 | Updated: 2024-05-05
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