Invisible Backdoor Attack Through Singular Value Decomposition

arXiv:2403.13018v1 Announce Type: cross
Abstract: With the widespread application of deep learning across various domains, concerns about its security have grown significantly. Among these, backdoor attacks pose a serious security threat to deep neural networks (DNNs). In recent years, backdoor attacks on neural networks have become increasingly sophisticated, aiming to compromise the security and trustworthiness of models by implanting hidden, unauthorized functionalities or triggers, leading to misleading predictions or behaviors. To make triggers less perceptible and imperceptible, various invisible backdoor …

abstract application arxiv attacks backdoor become concerns cs.ai cs.cr cs.lg deep learning domains networks neural networks security singular threat through type value