An Approach to Countering Adversarial Attacks on Image Recognition Based on JPEG-Compression and Neural-Cleanse-Reference-Cited by-同舟云学术

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An Approach to Countering Adversarial Attacks on Image Recognition Based on JPEG-Compression and Neural-Cleanse

Published:2024-05-13 Issue: Volume:10 Page:076-079
ISSN:
Container-title:2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
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Author:

Kotenko Igor¹,Saenko Igor¹,Lauta Oleg²,Vasiliev Nikita¹,Sadovnikov Vladimir¹

Affiliation:

1. St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS),Laboratory of Computer Security Problems,Saint-Petersburg,Russia

2. Admiral Makarov State University of Maritime and Inland Shipping,Department of Telecommunications and Information Security,Saint-Petersburg,Russia

Funder

Russian Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10583969/10583970/10584049.pdf?arnumber=10584049

Reference15 articles.

1. A Survey of Adversarial Attacks on Deep Neural Network in Computer Vision

2. Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems

3. Active vulnerability assessment of computer networks by simulation of complex remote attacks

4. Systematic Literature Review: Evaluating Effects of Adversarial Attacks and Attack Generation Methods

5. Attacks Against Machine Learning Systems: Analysis and GAN-based Approach to Protection

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