On Detecting Adversarial Perturbations
Artificial intelligence (AI) systems, especially machine learning models, are vulnerable to adversarial perturbations subtle modifications in input data that mislead AI into making incorrect predictions. These adversarial attacks pose serious threats in fields such as cybersecurity, healthcare, and autonomous systems. Detecting adversarial perturbations is crucial for improving AI robustness and ensuring safe deployment. This topic … Read more