In recent years, artificial intelligence researchers have developed various ways to protect machine learning systems against adversarial attacks. Among the most popular techniques is “randomized smoothing,” a series of training methods that establish a certified radius within which adversarial perturbations don’t affect machine learning models.
Data poisoning and adversarial attacks
Data poisoning and adversarial attacks
Data poisoning and adversarial attacks
In recent years, artificial intelligence researchers have developed various ways to protect machine learning systems against adversarial attacks. Among the most popular techniques is “randomized smoothing,” a series of training methods that establish a certified radius within which adversarial perturbations don’t affect machine learning models.