Adversarial Deception Against SAR Target Recognition Network
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
2. Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09785727.pdf?arnumber=9785727
Reference41 articles.
1. Explaining and harnessing adversarial examples;goodfellow,2014
2. Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study
3. On the Robustness of Semantic Segmentation Models to Adversarial Attacks
4. Adversarial Examples for Semantic Segmentation and Object Detection
5. Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
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