Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models | Elliott A.
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Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models | Elliott A.
Lecture 4 of Stanford University's Deep Learning CS230 Course, Kian Katanforoosh explains that adversarial attacks are tiny, hidden tweaks to data that trick an AI, creating an "arms race" where every defense is quickly countered by a new attack. To defend, researchers use input sanitization (cleaning the data before the AI sees it), output ...
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