Backdoor Attacks and Defenses on Semantic-Symbol Reconstruction in Semantic Communications

arXiv:2404.13279v1 Announce Type: new
Abstract: Semantic communication is of crucial importance for the next-generation wireless communication networks. The existing works have developed semantic communication frameworks based on deep learning. However, systems powered by deep learning are vulnerable to threats such as backdoor attacks and adversarial attacks. This paper delves into backdoor attacks targeting deep learning-enabled semantic communication systems. Since current works on backdoor attacks are not tailored for semantic communication scenarios, a new backdoor attack paradigm on semantic symbols (BASS) …

adversarial adversarial attacks arxiv attacks backdoor backdoor attacks communication communication networks communications cs.cr deep learning defenses eess.iv eess.sp frameworks networks next semantic systems threats vulnerable wireless