UNSW AI Decodes Ads to Reveal Private Lives | Privacy Risks
UNSW researchers demonstrate how AI infers sensitive traits from Facebook ad sequences, exposing privacy flaws in online advertising. Explore implications for Australia.
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Baiyu Chen, also known as Breeze Chen, is a PhD student in the School of Computer Science and Engineering at the University of New South Wales. He is pursuing a Doctor of Philosophy in Computer Science and Engineering under the supervision of Professor Flora Salim and Dr. Benjamin Tag. His research areas include multimodal learning, generative AI, and human-AI interaction. Chen previously completed a Master of Information Technology with excellent standing at UNSW, achieving a weighted average mark of 85.64, with a thesis on uncovering profiles of sequential ads in automated ad targeting. He holds a Bachelor of Engineering in Software Engineering with distinction from Xiamen University of Technology, where he ranked first in his major.
Chen has served as a research assistant at UNSW and as a visiting student researcher at Tsinghua University. He is a research student member of the ARC Centre of Excellence for Automated Decision-Making and Society. His professional experience includes software engineering internships at Pen CS and China CITIC Bank. Notable awards include third place in the KDD Cup 2025 Meta Comprehensive RAG Multi-modal Challenge and the judges' first prize in the ADM+S Hackathon 2024. Chen co-authored the paper "When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs," presented at WWW '26, which has received media coverage for its findings on privacy implications of online advertising. He has contributed as a tutor and guest lecturer at UNSW and serves as a reviewer for conferences including AAAI, WWW, and CHI, as well as the journal IMWUT.
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UNSW researchers demonstrate how AI infers sensitive traits from Facebook ad sequences, exposing privacy flaws in online advertising. Explore implications for Australia.