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A survey of backdoor attacks and defenses:From deep neural networks to large language models

Ling-Xin Jin Wei Jiang Xiang-Yu Wen Mei-Yu Lin Jin-Yu Zhan Xing-Zhi Zhou Maregu Assefa Habtie Naoufel Werghi

电子科技学刊2025，Vol.23Issue(3)：13-35,23.

电子科技学刊2025，Vol.23Issue(3)：13-35,23.DOI:10.1016/j.jnlest.2025.100326

A survey of backdoor attacks and defenses:From deep neural networks to large language models

Ling-Xin Jin ¹Wei Jiang ¹Xiang-Yu Wen ²Mei-Yu Lin ¹Jin-Yu Zhan ¹Xing-Zhi Zhou ¹Maregu Assefa Habtie ³Naoufel Werghi³

作者信息

1. School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China
2. School of computer Science and Engineering,The Chinese University of Hong Kong,Hong Kong,999077,China
3. School of Computer Science,Khalifa University,Abu Dhabi,127788,The United Arab Emirates
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摘要

关键词

Backdoor Attacks/Backdoor defenses/Deep neural networks/Large language model

Key words

Backdoor Attacks/Backdoor defenses/Deep neural networks/Large language model

引用本文复制引用

Ling-Xin Jin,Wei Jiang,Xiang-Yu Wen,Mei-Yu Lin,Jin-Yu Zhan,Xing-Zhi Zhou,Maregu Assefa Habtie,Naoufel Werghi..A survey of backdoor attacks and defenses:From deep neural networks to large language models[J].电子科技学刊,2025,23(3):13-35,23.

基金项目

This work was supported in part by the National Natural Science Foundation of China under Grants No.62372087 and No.62072076,the Research Fund of State Key Laboratory of Processors under Grant No.CLQ202310,and the CSC scholarship. （）

电子科技学刊

ISSN：1674-862X

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