ADS-detector: An attention-based dual stream adversarial example detection method
Authors:
- Sensen GuoSensen Guo
- Xiaoyu LiXLXiaoyu Li
- Peican ZhuPZPeican Zhu
- Zhiying MuZMZhiying Mu
- 14 February 2023
- journal article
- research article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 265
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Lightweight Attention Convolutional Neural Network for Retinal Vessel Image SegmentationIEEE Transactions on Industrial Informatics, 2020
- PuVAE: A Variational Autoencoder to Purify Adversarial ExamplesIEEE Access, 2019
- CBAM: Convolutional Block Attention Module2018
- Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise ReductionIEEE Transactions on Dependable and Secure Computing, 2018
- Deflecting Adversarial Attacks with Pixel Deflection2018
- Adversarial Examples Are Not Easily Detected2017
- Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics2017
- Densely Connected Convolutional Networks2017
- DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks2016
- Going deeper with convolutions2015