Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning-Reference-Cited by-同舟云学术

Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning

Published:2023-12 Issue: Volume:651 Page:119743
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Deshan,Luo Senlin,Zhou Jinjie,Pan Limin,Yang Xiaonan,Xing Jiyuan

Funder

National Health Commission of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

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2. A. Hard, K. Rao, R. Mathews, S. Ramaswamy, F. Beaufays, S. Augenstein, H. Eichner, C. Kiddon, D. Ramage, Federated Learning for Mobile Keyboard Prediction, (2019). https://doi.org/10.48550/arXiv.1811.03604.

3. B. McMahan, A. Thakurta, Federated learning with formal differential privacy guarantees, Google AI Blog. (2022).

4. C. Xie, K. Huang, P.-Y. Chen, B. Li, DBA: Distributed Backdoor Attacks against Federated Learning, in: 2020. https://openreview.net/forum?id=rkgyS0VFvr (accessed May 4, 2023).

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