Adversarial Robustness (Certified): Ensuring Model Stability Against Small, Bounded Input Changes
As artificial intelligence systems increasingly influence decisions in healthcare, finance, autonomous systems, and security, the question of trust becomes unavoidable. A model that performs well on standard benchmarks may still fail in subtle and dangerous ways when its inputs are slightly altered. These alterations, often imperceptible to humans, can significantly affect predictions. Adversarial robustness addresses […]
