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

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

Deep neural networks (DNNs) have found extensive applications in safety-critical artificial intelligence systems, such as autonomous driving and facial recognition systems. However, recent research has revealed their susceptibility to backdoors maliciously injected by adversaries. This vulnerability...

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Bibliographic Details
Main Authors: Ling-Xin Jin, Wei Jiang, Xiang-Yu Wen, Mei-Yu Lin, Jin-Yu Zhan, Xing-Zhi Zhou, Maregu Assefa Habtie, Naoufel Werghi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-09-01
Series:Journal of Electronic Science and Technology
Subjects:
Backdoor attacks
Backdoor defenses
Deep neural networks
Large language model
Online Access:http://www.sciencedirect.com/science/article/pii/S1674862X25000278
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