G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks
through Attributed Client Graph Clustering

G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

8 June 2023

Ming Ding

Papers citing "G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering"

8 / 8 papers shown

Title
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models Sejoon Oh Yiqiao Jin Megha Sharma Donghyun Kim Eric Ma Gaurav Verma Srijan Kumar 68 6 0 03 Nov 2024
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion Xiaoyang Ji Yuchen Zhou Haofu Yang Shiyue Xu Jiahao Li SSL 38 0 0 08 Aug 2024
A General Benchmark Framework is Dynamic Graph Neural Network Need Yusen Zhang 24 0 0 12 Jan 2024
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 40 56 0 03 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 24 2 0 01 Mar 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 23 68 0 15 Feb 2023
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 612 0 27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018