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Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in
  Federated Learning

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning

22 June 2024
Zhibo Wang
Zhiwei Chang
Jiahui Hu
Xiaoyi Pang
Jiacheng Du
Yongle Chen
Kui Ren
    FedML
ArXivPDFHTML

Papers citing "Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning"

4 / 4 papers shown
Title
The Resource Problem of Using Linear Layer Leakage Attack in Federated
  Learning
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
Joshua C. Zhao
A. Elkordy
Atul Sharma
Yahya H. Ezzeldin
A. Avestimehr
S. Bagchi
FedML
35
12
0
27 Mar 2023
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
79
92
0
01 Feb 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
69
181
0
06 Dec 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
64
164
0
29 Sep 2021
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