Projected Gradient Descent Adversarial Attack and Its Defense on a Fault Diagnosis System-Reference-Cited by-同舟云学术

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Projected Gradient Descent Adversarial Attack and Its Defense on a Fault Diagnosis System

Published:2022-07-13 Issue: Volume: Page:
ISSN:
Container-title:2022 45th International Conference on Telecommunications and Signal Processing (TSP)
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Author:

Ayas Mustafa Sinasi¹,Ayas Selen²,Djouadi Seddik M.³

Affiliation:

1. Karadeniz Technical University,Department of Electrical and Electronics Engineering,Trabzon,Turkey

2. Karadeniz Technical University,Department of Computer Engineering,Trabzon,Turkey

3. University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN,USA,37996

Funder

Scientific and Technological Research Council of Turkey (TUBITAK)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850982/9851229/09851334.pdf?arnumber=9851334

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1. Energy-Adaptive and Robust Monitoring for Smart Farms Based on Solar-Powered Wireless Sensors;IEEE Internet of Things Journal;2024-09-15

2. Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack;IEEE Transactions on Artificial Intelligence;2024-09

3. Enhancing Adversarial Robustness for High-Speed Train Bogie Fault Diagnosis Based on Adversarial Training and Residual Perturbation Inversion;IEEE Transactions on Industrial Informatics;2024-05

4. Unveiling vulnerabilities: evading YOLOv5 object detection through adversarial perturbations and steganography;Multimedia Tools and Applications;2024-02-15

5. Adversarial Attack Detection with Convolutional Neural Networks on Images for Selection of the Most Suitable Model in Object Detection;Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2023-12-01

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