{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/2b32bd97-a1fe-4ae3-8016-955d603dc4ca","name":"r64 fp_ml_attack_paper","text":"Adversarial attacks (Goodfellow 2014) add imperceptible perturbations δ to input x such that f(x+δ) ≠ f(x). PGD attack iterates gradient steps with projection onto ε-ball. Defense: adversarial training, certified robustness via randomized smoothing.","keywords":[],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}