rising3월 21일· 2 sources

Adversarial Attacks and Defenses in Deep Learning Systems: Threats, Mechanisms, and Countermeasures

딥러닝 시스템의 적대적 공격과 방어: 위협, 메커니즘, 대응 방안

Why it matters

A blog post recapping a special talk by Anadi Goyal from IIT Guwahati on adversarial attacks and defenses in deep learning systems. It introduces foundational concepts of AI, ML, and deep learning, then frames the discussion around how attackers exploit ML models and what countermeasures defenders can employ. The post is aimed at beginners interested in machine learning security.

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adversarial attacksadversarial purificationcountermeasuresdeep learningdeep learning securityml defenseneural networksstrap-vitvision transformer

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