Professor Shvartzshnaider presented the paper co-authored with Vasisht Duddu on "Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric" at the annual Privacy Enhancing Technologies Symposium (PETS) in Calgary! Abstract: As large language models (LLMs) are integrated into sociotechnical systems, it is crucial to examine the privacy biases they exhibit. We define privacy bias […]
Professor Shvartzshnaider gave a talk on "Privacy Inserts" titled: "Doing Away with Privacy Preferences: Towards Privacy Inserts" at the Policy-Relevant Privacy Research Workshop at the annual Privacy Enhancing Technologies Symposium (PETS) in Calgary Talk Abstract:
Professor Shvartzshnaider co-organized the 8th Annual PrivaCI Symposium took place on聽June 24-25, 2026聽at the聽University of Illinois at Urbana-Champaign, USA. The symposium fostered interaction among diverse communities of research and practice using Contextual Integrity to reason about privacy, design and evaluate, craft regulation, and generate formal logics for privacy. https://privaci.info/symposium/2026/program.html
Paper on "Governing Generative AI Use in Universities: A Comparative Study of Policies in the United States, Canada, and China" co-authored Chengyuan Liang and Prof Kean Birch was accepted and discussed in PLSC 2026.
"We compare how 101 top universities in North America and Greater China translate privacy and other legal-technical constraints into genAI governance rules on tool access, data use, and accountability."
Prof Shvartzshnaider's co-authored a paper on "Privacy Cards: Surfacing mental models and exploring privacy concerns of voice-first ambient interface" that will appear in the proceedings of the conference on Human Factors in Computing Systems (CHI'26), a leading international conference on Human-Computer Interaction. Cuadra A, Sabie S, Shvartzshnaider Y, Estrin D. Privacy Cards for Surfacing Mental […]
Professor Shvartzshnaider gave a talk on "聽In LLMs We Trust? A Contextual Integrity Perspective" at the recent NYC Privacy Day. "Hosted by聽DLI聽(Digital Life Initiative) and聽SETS聽(Security, Trust, and Safety Initiative),聽NYC Privacy Day 2025聽is an informal setting to gather and connect researchers working on data privacy at different institutions in the greater New 91亚色 City area.聽The schedule […]
Professor Shvartzshnaider presented a new paper, co-authored with Vasisht Duddu, at the recent ICML 2025 conference titled: "Position: Contextual Integrity is Inadequately Applied to Language Models" "Machine learning community is discovering Contextual Integrity (CI) as a useful framework to assess the privacy implications of large language models (LLMs). This is an encouraging development. The CI […]
Professor Shvartzshnaider presented at the recent HotPETS 2025 In LLMs We Trust? A Contextual Integrity PerspectiveYan Shvartzshnaider (91亚色), Vasisht Duddu (University of Waterloo) The talk broadly discuss recent results in LLM-CI: Assessing Contextual Integrity Norms in Language Models "Large language models (LLMs), while memorizing parts of their training data scraped from the Internet, may […]
Prof Shvartzshnaider co-authored a paper on "Measuring NIST Authentication Standards Compliance by Higher Education Institutions" with Noah Apthorpe and Boen Beavers,聽Colgate University 聽and Brett Frischmann,聽Villanova University that will appear in the processing of the Twenty-First Symposium on Usable Privacy and Security "In this paper, we examine the authentication policies of a diverse set of 135 […]
Recent paper co-authored with Sohyeon Hwang, Priyanka Nanayakkara was conditionally accepted to the upcoming 28th ACM Conference on Computer-Supported Cooperative Work and Social Computing [Update: The paper was received an honorable mention for best paper] "Decentralized social media protocols enable users in independent, user-hosted servers (i.e., instances) to interact with each other while they self-govern. This […]