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Shuang Hao – Empowering and Strengthening Security in the AI Era
May 28 @ 1:00 pm - 2:30 pm
Event Series (See All)
When Wednesday May 28th, 1pm
Where: HDSI 1st Floor Multipurpose Room 123
Where: HDSI 1st Floor Multipurpose Room 123
Title: Empowering and Strengthening Security in the AI Era
Abstract: Revolutionary advances in artificial intelligence (AI) techniques have led to promising applications and widespread deployment accessible to users. However, AI techniques are increasingly being abused by cybercriminals, such as creating synthetic content for scams or injecting malicious instances into services. It is imperative to cultivate systematic analysis and defenses against security threats in the era of AI.
In this talk, I will describe my research on developing empirical-theoretical approaches to address AI abuses and attacks. First, I will introduce the approaches of leveraging user intelligence to characterize and detect AI-generated face images, enabling human-AI collaboration to strengthen security of generative AI. Second, I will describe the analysis of attacks exploiting machine unlearning in the AI ecosystem, and quantify model degradation and risks in unlearning scenarios. My research builds systematic approaches and principled solutions to advance AI security.
Bio: Shuang Hao is an Associate Professor of Computer Science at the University of Texas at Dallas. He obtained his Ph.D. from the Georgia Institute of Technology, and he was a postdoctoral scholar at the University of California, Santa Barbara before joining UT Dallas. His research interests are in security and its intersection with AI, data science, and user behavior analysis. His current research focuses on designing data-driven approaches to advance security in the AI ecosystem. He has published extensively in top-tier security conferences including S&P, USENIX Security, CCS, and NDSS. He has received multiple awards and recognitions, including an NSF CAREER Award, an IETF Applied Networking Research Prize, a DSN Best Paper Award, an IMC Best Paper Award Runner-up, two-time CSAW Best Security Paper Award Finalist, and a Yahoo! Key Scientific Challenges Program Award. His work has been featured in media outlets such as MIT Technology Review, Slashdot, Fortune, CNN, and The Wall Street Journal. More about his research can be found at https://www.utdallas.edu/~