Federated Learning Attacks and Defenses: A Survey

Federated Learning Attacks and Defenses: A Survey

27 November 2022

Wensheng Gan

Papers citing "Federated Learning Attacks and Defenses: A Survey"

17 / 17 papers shown

Title
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 41 0 0 19 Mar 2025
Defending against Data Poisoning Attacks in Federated Learning via User Elimination Nick Galanis AAML 20 2 0 19 Apr 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Model-as-a-Service (MaaS): A Survey Wensheng Gan Shicheng Wan Philip S. Yu 21 21 0 10 Nov 2023
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Indu Joshi Priya Upadhya Gaurav Kumar Nayak Peter Schuffler Nassir Navab AAML FedML 19 0 0 14 Aug 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 25 20 0 18 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy Yao Chen Wensheng Gan Gengsen Huang Yongdong Wu Philip S. Yu 13 0 0 04 Apr 2023
Federated Learning for Metaverse: A Survey Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 30 20 0 23 Mar 2023
The Human-Centric Metaverse: A Survey Riyan Yang Lin Li Wensheng Gan Zefeng Chen Zhenlian Qi 36 27 0 20 Mar 2023
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 46 100 0 02 May 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 58 150 0 18 Jan 2021
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 172 355 0 07 Dec 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 185 252 0 06 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 191 433 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018