Energy-Based Adversarial Example Detection for SAR Images

Energy-Based Adversarial Example Detection for SAR Images

Adversarial examples (AEs) bring increasing concern on the security of deep-learning-based synthetic aperture radar (SAR) target recognition systems. SAR AEs with perturbation constrained to the vicinity of the target have been recently in the spotlight due to the physical realization prospects. How...

Full description

Bibliographic Details
Main Authors:	Zhiwei Zhang, Xunzhang Gao, Shuowei Liu, Bowen Peng, Yufei Wang
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Remote Sensing
Subjects:	synthetic aperture radar automatic target recognition deep neural network adversarial examples adversarial detection energy-based model
Online Access:	https://www.mdpi.com/2072-4292/14/20/5168

Similar Items

Adversarial Attack for SAR Target Recognition Based on UNet-Generative Adversarial Network
by: Chuan Du, et al.
Published: (2021-10-01)

An Empirical Study of Fully Black-Box and Universal Adversarial Attack for SAR Target Recognition
by: Bowen Peng, et al.
Published: (2022-08-01)

Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study
by: Haifeng Li, et al.
Published: (2021-01-01)

Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
by: Wei Zong, et al.
Published: (2022-12-01)

Adversarial Deception Against SAR Target Recognition Network
by: Fan Zhang, et al.
Published: (2022-01-01)

A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection
by: Jiale Duan, et al.
Published: (2024-03-01)

DE-JSMA: a sparse adversarial attack algorithm for SAR-ATR models
by: JIN Xiaying, et al.
Published: (2023-12-01)

Targeted Speech Adversarial Example Generation With Generative Adversarial Network
by: Donghua Wang, et al.
Published: (2020-01-01)

TAN: A Transferable Adversarial Network for DNN-Based UAV SAR Automatic Target Recognition Models
by: Meng Du, et al.
Published: (2023-03-01)

Adversarial Self-Supervised Learning for Robust SAR Target Recognition
by: Yanjie Xu, et al.
Published: (2021-10-01)

Deep-Learning for Radar: A Survey
by: Zhe Geng, et al.
Published: (2021-01-01)

Random Untargeted Adversarial Example on Deep Neural Network
by: Hyun Kwon, et al.
Published: (2018-12-01)

Deep neural rejection against adversarial examples
by: Angelo Sotgiu, et al.
Published: (2020-04-01)

ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples
by: Seok-Hwan Choi, et al.
Published: (2022-01-01)

Evading Logits-Based Detections to Audio Adversarial Examples by Logits-Traction Attack
by: Songshen Han, et al.
Published: (2022-09-01)

A Universal Detection Method for Adversarial Examples and Fake Images
by: Jiewei Lai, et al.
Published: (2022-04-01)

A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach
by: Mohammed Nasser Al-Andoli, et al.
Published: (2024-01-01)

Robust SAR Automatic Target Recognition Via Adversarial Learning
by: Yuchen Guo, et al.
Published: (2021-01-01)

SAR Image Generation Method Using DH-GAN for Automatic Target Recognition
by: Snyoll Oghim, et al.
Published: (2024-01-01)

Smooth adversarial examples
by: Hanwei Zhang, et al.
Published: (2020-11-01)

Multi-target Category Adversarial Example Generating Algorithm Based on GAN
by: LI Jian, GUO Yan-ming, YU Tian-yuan, WU Yu-lun, WANG Xiang-han, LAO Song-yang
Published: (2022-02-01)

Clustering Approach for Detecting Multiple Types of Adversarial Examples
by: Seok-Hwan Choi, et al.
Published: (2022-05-01)

Targeted Universal Adversarial Examples for Remote Sensing
by: Tao Bai, et al.
Published: (2022-11-01)

Adversarial Patch Attacks on Deep-Learning-Based Face Recognition Systems Using Generative Adversarial Networks
by: Ren-Hung Hwang, et al.
Published: (2023-01-01)

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing
by: Xingjian Li, et al.
Published: (2022-01-01)

Adversarial Examples for CNN-Based Malware Detectors
by: Bingcai Chen, et al.
Published: (2019-01-01)

Generating adversarial examples without specifying a target model
by: Gaoming Yang, et al.
Published: (2021-09-01)

Targeted universal adversarial examples for remote sensing
by: Bai, Tao, et al.
Published: (2023)

Study of Adversarial Machine Learning with Infrared Examples for Surveillance Applications
by: DeMarcus Edwards, et al.
Published: (2020-08-01)

Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification
by: Samer Y. Khamaiseh, et al.
Published: (2022-01-01)

SAR Target Image Generation Method Using Azimuth-Controllable Generative Adversarial Network
by: Chenwei Wang, et al.
Published: (2022-01-01)

Perceptually Similar Image Classification Adversarial Example Generation Model
by: LI Junjie, WANG Qian
Published: (2020-11-01)

SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples
by: Yan Chu, et al.
Published: (2020-01-01)

Adversarial Attack and Defense on Deep Neural Network-Based Voice Processing Systems: An Overview
by: Xiaojiao Chen, et al.
Published: (2021-09-01)

Adversarial attacks and defenses in deep learning
by: LIU Ximeng, et al.
Published: (2020-10-01)

Survey of Image Adversarial Example Defense Techniques
by: LIU Ruiqi, LI Hu, WANG Dongxia, ZHAO Chongyang, LI Boyu
Published: (2023-12-01)

Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition
by: Fei Gao, et al.
Published: (2018-08-01)

Sparse Adversarial Attacks against DL-Based Automatic Modulation Classification
by: Zenghui Jiang, et al.
Published: (2023-09-01)

Simplicial-Map Neural Networks Robust to Adversarial Examples
by: Eduardo Paluzo-Hidalgo, et al.
Published: (2021-01-01)

On the Effectiveness of Adversarial Training in Defending against Adversarial Example Attacks for Image Classification
by: Sanglee Park, et al.
Published: (2020-11-01)