Backdoor Threats from Compromised Foundation Models to Federated
Learning

Backdoor Threats from Compromised Foundation Models to Federated Learning

31 October 2023

Xi Li

Papers citing "Backdoor Threats from Compromised Foundation Models to Federated Learning"

7 / 7 papers shown

Title
AugFL: Augmenting Federated Learning with Pretrained Models Sheng Yue Zerui Qin Yongheng Deng Ju Ren Yaoxue Zhang Junshan Zhang FedML 85 0 0 04 Mar 2025
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt SILM 90 6 0 28 Nov 2024
Securing Federated Learning against Backdoor Threats with Foundation Model Integration Xiaohuan Bi Xi Li 60 1 0 23 Oct 2024
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 62 6 0 18 Jun 2024
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li Chen Henry Wu Jiaqi Wang AAML 59 5 0 30 Nov 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 78 19 0 29 Nov 2023
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,034 0 29 Nov 2018