On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3195616
Abstract: Although Deep Neural Networks (DNNs) have shown incredible performance in perceptive and control tasks, several trustworthy issues are still open. One of the most discussed topics is the existence of adversarial perturbations, which has opened… read more here.
Keywords: neural networks; adversarial perturbation; deep neural; minimal adversarial ... See more keywords
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24081047
Abstract: This paper studies the privacy of wireless communications from an eavesdropper that employs a deep learning (DL) classifier to detect transmissions of interest. There exists one transmitter that transmits to its receiver in the presence… read more here.
Keywords: adversarial perturbation; machine learning; learning nextg; adversarial machine ... See more keywords