<i>BadCleaner:</i> Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation-Reference-Cited by-同舟云学术

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BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

Published:2024-09 Issue:5 Volume:21 Page:4559-4573
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Zhang Jiale¹^ORCID,Zhu Chengcheng¹^ORCID,Ge Chunpeng²^ORCID,Ma Chuan³^ORCID,Zhao Yanchao⁴^ORCID,Sun Xiaobing¹^ORCID,Chen Bing⁴^ORCID

Affiliation:

1. School of Information Engineering, Yangzhou University, Yangzhou, China

2. School of Software, Shandong University, Jinan, China

3. Zhejiang Lab, Hangzhou, China

4. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of Jiangsu Higher Education Institutions of China

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8858/10663874/10399805.pdf?arnumber=10399805

Reference56 articles.

1. Privacy-Preserving Deep Learning

2. Communication-efficient learning of deep networks from decentralized data;McMahan

3. Federated Machine Learning

4. How to backdoor federated learning;Bagdasaryan

5. Attack of the tails: Yes, you really can backdoor federated learning;Wang

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