Robust Semantic Communications and Privacy Protection
Xuefei Zhang · 2024
Semantic communication, depending on deep neural network, transmits the semantic information extracted from the raw data rather than the raw data itself, which can largely reduce the bandwidth requirements. However, the burgeoning advancement in semantic communication has brought forth escalated concerns regarding security and privacy. This chapter first introduces the problem that neural networks in semantic communication are very vulnerable to adversarial attacks and then proposes robust semantic communication systems for image and speech transmission. Meanwhile, this chapter discusses the privacy issue caused by the difference in knowledge bases between transmitter and receiver in semantic communication and proposes a knowledge discrepancy-oriented privacy protection method for semantic communication to reduce the risk of privacy leakage while retaining high data utility.