1-Bit Radar Imaging Based on Adversarial Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3073159
Abstract: Radar imaging with 1-bit data is attractive thanks to its low storage and transmission burden. Existing 1-bit radar imaging methods cannot satisfactorily suppress the artifacts in the imaging result induced by 1-bit quantization error and… read more here.
Keywords: adversarial samples; quantization; radar imaging; based adversarial ... See more keywords
A Mask-Based Adversarial Defense Scheme
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.48550/arxiv.2204.11837
Abstract: Adversarial attacks hamper the functionality and accuracy of deep neural networks (DNNs) by meddling with subtle perturbations to their inputs. In this work, we propose a new mask-based adversarial defense scheme (MAD) for DNNs to… read more here.
Keywords: based adversarial; defense scheme; defense; adversarial defense ... See more keywords