On the Security of Randomized Defenses Against Adversarial Samples

Kumar Sharad, Giorgia Azzurra Marson, Hien Thi Thu Truong +1

Deep Learning has been shown to be particularly vulnerable to adversarial samples. To combat adversarial strategies, numerous defensive techniques have been proposed. Among these,…