NeuronSig: A general adversarial attack detector based on neuron signature of deep neural network
Authors:
- Chengyu JiaCJChengyu Jia
- Jinyin ChenJinyin Chen
- Xiaohao LiXLXiaohao Li
- Haibin ZhengHaibin Zheng
- Luxin ZhangLuxin Zhang
- 24 July 2026
- journal article
- Published by Elsevier in Applied Soft Computing
- Vol. 203
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Zhejiang Province
- Youth Science Fund Project
- Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space
This publication has 8 references indexed in Scilit:
- ADS-detector: An attention-based dual stream adversarial example detection methodKnowledge-Based Systems, 2023
- Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based PriorIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
- Multimodal Neurons in Artificial Neural NetworksDistill, 2021
- Deep neural rejection against adversarial examplesEURASIP Journal on Information Security, 2020
- Adversarial Attacks on Deep-learning Models in Natural Language ProcessingACM Transactions on Intelligent Systems and Technology, 2020
- Review of Artificial Intelligence Adversarial Attack and Defense TechnologiesApplied Sciences, 2019
- One Pixel Attack for Fooling Deep Neural NetworksIEEE Transactions on Evolutionary Computation, 2019
- Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learningInternational Journal of Electrical Power & Energy Systems, 2018