Adversarial Machine Learning in 7 Minutes: Attacks & Defenses
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Adversarial Machine Learning in 7 Minutes: Attacks & Defenses
Learn the core of adversarial ML: threat models, attack taxonomy (poisoning/evasion/privacy), FGSM, and practical defenses (and pitfalls). Slides & citations from course materials. Mini-assignment included. Chapters 0:00 Hook 0:30 Threat models 1:30 Attack taxonomy 3:00 FGSM demo 4:30 Defenses & pitfalls 6:30 Key takeaways + quiz
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