ML Seminar: Neil Gong (EE, Duke)

CSE DSI Machine Learning seminars will be held Tuesdays 11a.m. - 12 p.m. Central Time in hybrid mode. We hope facilitate face-to-face interactions among faculty, students, and partners from industry, government, and NGOs by hosting some of the seminars in-person. See individual dates for more information.

This week's speaker, Neil Gong (EE, Duke), will be giving a talk titled, "Secure Content Moderation for Generative AI".

Abstract

Generative AI–such as GPT-4 and DALL-E 3–raises many ethical and legal concerns such as the generation of harmful content, scaling disinformation and misinformation campaigns, as well as disrupting education and learning. Content moderation for generative AI aims to address these ethical and legal concerns via 1) preventing a generative AI model from synthesizing harmful content, and 2) detecting AI-generated content. Prevention is often implemented using safety filters, while detection is implemented by watermark. Both prevention and watermark-based detection have been recently widely deployed by industry. In this talk, we will discuss the security of existing prevention and watermark-based detection methods in adversarial settings. 

Biography

Neil Gong is an Assistant Professor in the Department of Electrical and Computer Engineering and Department of Computer Science (secondary appointment) at Duke University. His research interests are cybersecurity and privacy with a recent focus on AI security. He received an NSF CAREER Award, Army Research Office Young Investigator Program (YIP) Award, Rising Star Award from the Association of Chinese Scholars in Computing, IBM Faculty Award, Facebook Research Award, and multiple best paper or best paper honorable mention awards. He received a B.E. from the University of Science and Technology of China in 2010 (with the highest honor) and a Ph.D in Computer Science from the University of California Berkeley in 2015. 

Start date
Tuesday, Dec. 5, 2023, 11 a.m.
End date
Tuesday, Dec. 5, 2023, Noon
Location

Keller Hall 3-180 or Via Zoom.

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