Towards Efficient and Certified Recovery from Poisoning Attacks in
Federated Learning

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning

16 January 2024

Kwok-Yan Lam

Papers citing "Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning"

9 / 9 papers shown

Title
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 87 1 0 28 Nov 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 33 1 0 17 Nov 2024
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method Yu Jiang Chee Wei Tan K. Lam FedML MU 36 1 0 17 Nov 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 47 6 0 03 Jun 2024
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security Yihe Fan Yuxin Cao Ziyu Zhao Ziyao Liu Shaofeng Li 30 12 0 08 Apr 2024
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 56 0 02 Jul 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 111 611 0 27 Dec 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018