Source Inference Attacks: Beyond Membership Inference Attacks in
Federated Learning

Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning

30 September 2023

Lichao Sun

Papers citing "Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning"

13 / 13 papers shown

Title
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends Kai Li Zhengyang Zhang Azadeh Pourkabirian Wei Ni Falko Dressler Ozgur B. Akan 58 0 0 01 Apr 2025
Rethinking Membership Inference Attacks Against Transfer Learning Yanwei Yue Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 68 34 0 20 Jan 2025
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 36 2 0 28 Sep 2024
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training Huitong Jin Yipeng Zhou Laizhong Cui Quan Z. Sheng AI4CE 50 0 0 18 Aug 2024
Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices Kongyang Chen Dongping Zhang Sijia Guan Bing Mi Jiaxing Shen Guoqing Wang FedML 34 1 0 14 May 2024
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 39 26 0 15 Sep 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 41 14 0 24 Jun 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 71 181 0 06 Dec 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning Shuo Wang Surya Nepal Kristen Moore M. Grobler Carsten Rudolph A. Abuadbba FedML 40 8 0 03 May 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,831 0 14 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 357 0 07 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 360 0 24 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 204 436 0 04 Mar 2020