Wenjun (Wendy) Qiu

Ph.D. Candidate

Electrical and Computer Engineering

Privacy and Security

D.L. Pratt 372

6 King’s College Road

Toronto, ON M5S 3G4

wenjun.qiu@mail.utoronto.ca

Wenjun (Wendy) Qiu

I am a Ph.D. candidate in Electrical and Computer Engineering at the University of Toronto, supervised by Professor David Lie. I have been affiliated with the Schwartz Reisman Institute for Technology and Society and the Vector Institute since 2022. I received my M.A.Sc. and B.A.Sc. with Honours from the University of Toronto and completed an Engineering Business Minor.

My research focuses on making digital systems more privacy-preserving, transparent, and trustworthy. I study online privacy policies, regulatory compliance, AI privacy and data governance, and machine-learning security. My work draws on methods from automated reasoning, natural language processing, active learning, crowdsourcing, and large language models. My research has appeared in leading peer-reviewed security venues, including the IEEE Symposium on Security and Privacy and the USENIX Security Symposium.

I will serve on the program committee for USENIX Security’27, and have contributed as a program chair and reviewer for the Trustworthy AI for Good workshops at ICML 2026 and NeurIPS 2026. Since 2022, I have organized and moderated the SRI Privacy Discussion Group. I collaborate with researchers across disciplines and institutions, including Henry N.R. Jackman Faculty of Law, University of Toronto Faculty of Information, the Schwartz Reisman Institute, the Vector Institute, and the Communications Security Establishment Canada. I have received more than $140,000 in research grants, fellowships, scholarships, and awards.

Recent News 🎉