Adversarial Attacks: Securing AI Against Invisible Threats: Revision history

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2 January 2026

  • curprev 12:0712:07, 2 January 2026‎ Ahirtherei talk contribs‎ 23,320 bytes +23,320‎ Created page with "<html><p> Modern machine learning systems are not only powerful, they are brittle in oddly human ways. They see shapes where none exist, trust shortcuts that look convincing in the lab, and collapse in the presence of inputs that appear unchanged to us. Adversarial attacks expose that brittleness. They exploit the gap between what a model optimizes for and what we intend it to understand. The danger rarely announces itself with noisy glitches. It looks like normal traffi..."
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