Prof. Tian will give a talk at 8th Deep Learning Security and Privacy Workshop.
Prof. Tian will give a talk at 8th Deep Learning Security and Privacy Workshop.
Artificial-intelligence applications are no longer confined to discrete models running in isolation. With the advancement of GenAI, the AI applications are end-to-end systems that ingest live data, invoke complex toolchains, and operate inside intertwined virtual and physical environments. Yet most security guidance still targets individual components, leaving systemic blind spots that adversaries eagerly exploit. This talk focuses on AI system security beyond model-centric hardening. In particular, I will discuss two main points: secure the entire pipeline of AI supply chain, and secure AI’s interactions with cyber and physical environments.
Fnu Suya
PhD grad in 2022, now AP at University of Tennessee, Knoxville
I am a tenure-track Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. From Oct 2023 to July 2024, I was a MC2 Postdoctoral Fellow at the Maryland Cybersecurity Center (MC2) at the University of Maryland, College Park. I received my Ph.D. degree in Computer Science from the University of Virginia, advised by Prof. David Evans and Prof. Yuan Tian at UCLA. I am interested in machine learning for security and the trustworthy aspects of machine learning, especially in malicious training environments.