This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...
Abstract: The use of radar sensors for recognizing human motion offers a unique benefit in scenarios focused on privacy protection, which has gained significant attention in the field of radar-based ...
Abstract: Data-free Universal Adversarial Perturbation (UAP) is an image-agnostic adversarial attack that deceives deep neural networks using a single perturbation generated solely from random noise ...