Adversarial Attacks and Defenses of Image Classification: A Comprehensive Survey

Summary

A comprehensive survey reviews adversarial attacks and defenses in image classification, organizing the most representative methods chronologically and by category. It analyzes the strengths and weaknesses of each method and offers perspectives on future research directions. The survey was published in ACM Computing Surveys on 2026-10-29 (DOI: 10.1145/3831673).

Topics

• Adversarial machine learning

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