Adversarial machine learning for cybersecurity and computer vision: current developments and challenges

DOI10.1002/wics.1511zbMATH Open1544.62161MaRDI QIDQ6601101

Bowei Xi

Publication date: 10 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

deep learningcybersecurityadversarial machine learningpoisoning attackevasion attack

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Unnamed Item
• Classifier evaluation and attribute selection against active adversaries
• Mining adversarial patterns via regularized loss minimization
• The security of machine learning
• Learning to classify with missing and corrupted features
• Learning in the Presence of Malicious Errors
• Our Data, Ourselves: Privacy Via Distributed Noise Generation
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
• 10.1162/153244303321897726
• Theory of Cryptography

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