Secure Communication

Secure communication research focuses on protecting sensitive information transmitted across various networks, from traditional wireless systems to emerging technologies like federated learning and large language models. Current efforts concentrate on developing robust encryption methods, often leveraging deep learning architectures and blockchain technologies to enhance privacy and resilience against adversarial attacks, including those targeting both data and model parameters. These advancements are crucial for safeguarding data privacy in diverse applications, ranging from improving the security of next-generation communication networks to enabling secure collaboration in machine learning.