AGIC: Approximate Gradient Inversion Attack on Federated Learning

AGIC: Approximate Gradient Inversion Attack on Federated Learning

28 April 2022

Jérémie Decouchant

Papers citing "AGIC: Approximate Gradient Inversion Attack on Federated Learning"

15 / 15 papers shown

Title
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models Caspar Meijer Jiyue Huang Shreshtha Sharma Elena Lazovik Lydia Y. Chen AI4TS 33 0 0 26 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 52 1 0 10 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 77 0 0 24 Feb 2025
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem Qiongxiu Li Lixia Luo Agnese Gini Changlong Ji Zhanhao Hu Xiao-Li Li Chengfang Fang Jie Shi Xiaolin Hu FedML 29 3 0 21 Sep 2024
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization Wenrui Yu Qiongxiu Li Milan Lopuhaä-Zwakenberg Mads Græsbøll Christensen Richard Heusdens FedML 24 3 0 12 Jul 2024
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients Yuncong Zuo Bart Cox Lydia Y. Chen Jérémie Decouchant 29 0 0 03 Jun 2024
Gradient Inversion of Federated Diffusion Models Jiyue Huang Chi Hong Lydia Y. Chen Stefanie Roos FedML 34 1 0 30 May 2024
RAF-GI: Towards Robust, Accurate and Fast-Convergent Gradient Inversion Attack in Federated Learning Can Liu Jin Wang Dong-Yang Yu AAML 19 0 0 13 Mar 2024
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 19 1 0 13 Mar 2024
Approximate and Weighted Data Reconstruction Attack in Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua AAML FedML 22 4 0 13 Aug 2023
Temporal Gradient Inversion Attacks with Robust Optimization Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 33 2 0 13 Jun 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning Tanguy Marchand Regis Loeb Ulysse Marteau-Ferey Jean Ogier du Terrail Arthur Pignet FedML 42 4 0 13 Jun 2023
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
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 39,194 0 01 Sep 2014