Differentially Private Optimizers Can Learn Adversarially Robust Models
Authors: Yuan Zhang, Zhiqi Bu | Published: 2022-11-16 | Updated: 2023-11-21
Multi-Player Bandits Robust to Adversarial Collisions
Authors: Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh | Published: 2022-11-15
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Authors: Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren | Published: 2022-11-14 | Updated: 2024-03-02
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
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