Revealing and Protecting Labels in Distributed Training

31 October 2021

Papers citing "Revealing and Protecting Labels in Distributed Training"

5 / 5 papers shown

Title
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning Xiaoye Miao Bin Li Yangyang Wu Meng Xi Xinkui Zhao 33 0 0 08 Jan 2025
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 35 36 0 15 Jun 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 31 21 0 28 Apr 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 35 26 0 10 Mar 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021