The Resource Problem of Using Linear Layer Leakage Attack in Federated
Learning

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning

27 March 2023

Yahya H. Ezzeldin

Papers citing "The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning"

8 / 8 papers shown

Title
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data Serkan Salturk Irem Sayin Ibrahim Cem Balci Taha Emre Pamukcu Zafer Soydan Huseyin Uvet 38 0 0 25 Dec 2024
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Zhibo Wang Zhiwei Chang Jiahui Hu Xiaoyi Pang Jiacheng Du Yongle Chen Kui Ren FedML 29 1 0 22 Jun 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning Joshua C. Zhao Ahaan Dabholkar Atul Sharma Saurabh Bagchi FedML 28 2 0 26 Mar 2024
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain Baturalp Buyukates Chaoyang He Shanshan Han Zhiyong Fang Yupeng Zhang Jieyi Long A. Farahanchi Salman Avestimehr OOD 31 7 0 27 Feb 2023
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 86 92 0 01 Feb 2022
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 Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 67 164 0 29 Sep 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014