论文标题
使用对抗性培训进行隐私保存的加密语义通信
Encrypted Semantic Communication Using Adversarial Training for Privacy Preserving
论文作者
论文摘要
语义通信是根据共享背景知识实施的，但是共享机制有隐私泄漏。在这封信中，我们提出了一个加密的语义通信系统（ESC），以保存隐私，该系统结合了普遍性和机密性。普遍性反映在建议的ESC的所有网络模块都是根据共享数据库培训的，该数据库适用于在实际情况下适用于大规模部署。同时，机密性是通过对称加密来实现的。基于对抗性训练，我们设计了一种对抗性加密培训计划，以确保在加密和未加密模式下语义通信的准确性。实验结果表明，无论语义信息是否加密，对对抗加密训练方案的拟议ESC都可以很好地执行。攻击者很难从窃听的消息中重建原始的语义信息。
Semantic communication is implemented based on shared background knowledge, but the sharing mechanism risks privacy leakage. In this letter, we propose an encrypted semantic communication system (ESCS) for privacy preserving, which combines universality and confidentiality. The universality is reflected in that all network modules of the proposed ESCS are trained based on a shared database, which is suitable for large-scale deployment in practical scenarios. Meanwhile, the confidentiality is achieved by symmetric encryption. Based on the adversarial training, we design an adversarial encryption training scheme to guarantee the accuracy of semantic communication in both encrypted and unencrypted modes. Experiment results show that the proposed ESCS with the adversarial encryption training scheme can perform well regardless of whether the semantic information is encrypted. It is difficult for the attacker to reconstruct the original semantic information from the eavesdropped message.
