Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
Authors: Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm | Published: 2022-11-21 | Updated: 2023-04-26
Privacy Protection Method
On the Alignment of Group Fairness with Attribute Privacy
Authors: Jan Aalmoes, Vasisht Duddu, Antoine Boutet | Published: 2022-11-18 | Updated: 2024-03-05
Differentially Private Optimizers Can Learn Adversarially Robust Models
Authors: Yuan Zhang, Zhiqi Bu | Published: 2022-11-16 | Updated: 2023-11-21
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Authors: Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu | Published: 2022-11-13
Provable Membership Inference Privacy
Authors: Zachary Izzo, Jinsung Yoon, Sercan O. Arik, James Zou | Published: 2022-11-12
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Authors: Christopher A. Choquette-Choo, H. Brendan McMahan, Keith Rush, Abhradeep Thakurta | Published: 2022-11-12 | Updated: 2023-06-08
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Authors: Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang | Published: 2022-11-08 | Updated: 2023-11-18
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Authors: Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat | Published: 2022-11-08 | Updated: 2023-08-10
Unlearning Graph Classifiers with Limited Data Resources
Authors: Chao Pan, Eli Chien, Olgica Milenkovic | Published: 2022-11-06 | Updated: 2023-07-01
Revisiting Hyperparameter Tuning with Differential Privacy
Authors: Youlong Ding, Xueyang Wu | Published: 2022-11-03 | Updated: 2023-01-31