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
ADEPT: A DEbiasing PrompT Framework
Authors: Ke Yang, Charles Yu, Yi Fung, Manling Li, Heng Ji | Published: 2022-11-10 | Updated: 2022-12-23
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
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
Authors: Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian | Published: 2022-11-08 | Updated: 2024-09-06
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
Amplifying Membership Exposure via Data Poisoning
Authors: Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang | Published: 2022-11-01
Adversarial Policies Beat Superhuman Go AIs
Authors: Tony T. Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell | Published: 2022-11-01 | Updated: 2023-07-13
Unclonability and Quantum Cryptanalysis: From Foundations to Applications
Authors: Mina Doosti | Published: 2022-10-31