UCLA Security Lab

The UCLA Security Lab, led by Prof. Yuan Tian, conducts research on security and privacy and their interactions with computer systems, machine learning, and human-computer interaction.

Our research spans AI security, data privacy, and system security, with publications at top venues including IEEE S&P, USENIX Security, CCS, NDSS, ICLR, and ICML.

Research

Our lab conducts research at the intersection of security, privacy, machine learning, and human-computer interaction. Our work spans three major research directions.

AI Security

We investigate the security and trustworthiness of machine learning models, including adversarial attacks, data poisoning, backdoor attacks on model merging, and environmental injection attacks on AI agents.

Data Privacy

We study privacy risks and compliance , including GDPR enforcement, personal information disclosure in online communities, location privacy in recommendation systems, and user perceptions of data collection.

System Security

We analyze the security of software systems including voice-controlled platforms, IoT ecosystems, authentication protocols, smart home automations, and extended reality (XR).

Latest News