Yuan Tian

Yuan Tian is an Associate Professor in the Department of Computer Science at the University of California, Los Angeles. She is also affiliated with the Institute of Law, Technology, and Public Policy. Prior to joining UCLA, she was an Assistant Professor at the University of Virginia and earned her Ph.D. from Carnegie Mellon University in 2017. Her research interests include security and privacy, machine learning, and human-computer interaction, with a focus on developing technologies to protect user privacy in the Internet of Things and machine learning systems. Her work has been integrated into popular platforms and has influenced security recommendations from standard organizations. She has received several awards, including the Okawa Foundation Award 2022 and the Google Research Scholar Award 2021.

Yuan Tian is an associate professor at the University of California, Los Angeles, specializing in Security and Privacy. His research focuses on understanding and mitigating security risks in voice-controlled systems, IoT security, and privacy-preserving machine learning. Tian's work includes developing user-centered authorization mechanisms, analyzing vulnerabilities in IoT firmware, and exploring privacy leakage through environmental injection attacks. He has also investigated the security implications of third-party components, OAuth bugs, and data heterogeneity in federated learning. His research emphasizes practical solutions for securing smart devices and protecting user privacy in emerging technologies.