Security and Privacy

Towards Trustworthy Acceleration for AI Systems

Yuchen Yang, Assistant Professor, Privacy and Cybersecurity Informatics, The Pennsylvania State University (PSU)

Oct 22, 12:00 - 13:00

B4 R5209

Trustworthy AI Efficient AI accelerators trustworthy machine learning privacy-preserving AI Security and Privacy secure AI secure system design

In this talk, I will show how inference acceleration can not only weaken safety and security but also become a tool for attackers, and how these findings guide secure system design.

Rehana Yasmin

Research Scientist, Cyber Security and Resilience Technology

Security and Privacy autonomous vehicles LEO Satellite Security

Rehana Yasmin is currently a Research Scientist at the CyberSaR Lab in KAUST. Before joining KAUST, she had been working as a researcher in the area of Automotive Cybersecurity and Resilience at Huawei International. Prior to above, she served as a lecturer at University of Azad Jammu and Kashmir, and later as an assistant professor at Mirpur University of Science and Technology, in Pakistan. She also obtained a short experience of postdoc from University of Padova, Italy. Research Interests Yasmin's research interests lie in security and privacy protocols, applied cryptography, AI for anomaly

Osama Hassan

M.S., Electrical and Computer Engineering

wireless networks Optical Wireless Communication Security and Privacy

Osama Hassan is a Master's student studying under the supervision of Prof. Mohamed-Slim Alouini in the Communications Theory Lab (CTL) at King Abdullah University of Science and Technology (KAUST). Education Osama received his Bachelor of Science in Engineering (BSE) in Electrical Engineering from Princeton University in 2018, with a concentration in Security and Privacy, and a certificate in Applications of Computing. Early Career At Princeton, Osama conducted research at the Houck Lab for Quantum Computing and Condensed Matter Physics, where he worked on designing and testing quantum

Juexiao Zhou

Ph.D. Student, Computer Science

Deep learning Medical imaging Security and Privacy LLM