Yuan Tian

Yuan Tian is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on security and privacy, with a particular emphasis on cyber-physical systems, machine learning applications in vulnerability detection, and human-computer interaction challenges in privacy preservation. He has collaborated with industry leaders such as Google, Facebook, Microsoft, Samsung, and others to address real-world security and privacy issues in mobile systems and IoT devices. His work spans theoretical frameworks for automated vulnerability repair to practical tools like AuthSaber for OAuth security verification.

Key research areas include:

• Development of LLM-powered systems for vulnerability detection (e.g., VulBinLLM)
• Post-fuzzing analysis of firmware (FirmRCA)
• Privacy perception studies in smart environments (e.g., WiFi services and commercial buildings)
• Hardware/software co-design security for IoT

His recent work bridges machine learning and cybersecurity, addressing threats in smart contracts, federated learning, and adversarial attacks. Notable contributions include frameworks for privacy-preserving inference in edge networks and sonar-based authentication systems for smart speakers.

Awards and recognition: No specific awards listed, though his work has been widely adopted by industry partners. His research has been published in top-tier venues, including S&P, CCS, and IEEE S&P, reflecting its technical impact.