In response to the rapidly evolving nature of adversarial attacks on a monthly basis,
numerous defenses have been proposed to generalize against as many known attacks as …

Convolutional Neural Networks (CNNs) are well-known for their vulnerability to adversarial
attacks, posing significant security concerns. In response to these threats, various defense …

A growing trend in the field of adversarial attacks is evolving from the digital domain to the
more challenging physical domain. The previous works mainly employ printable adversarial …

As a defense strategy against adversarial attacks, adversarial detection aims to identify and
filter out adversarial data from the data flow based on discrepancies in distribution and noise …

Adversarial attacks pose a severe threat to the accuracy of person re-identification (re-ID)
systems, a critical security technology. Adversarial purification methods are promising …