Skip to main content Skip to local navigation
Home » Category: 'News'

News

Policy-Relevant Privacy Research Workshop @ PETS 2026

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:

The 8th Annual PrivaCI Symposium

Professor Shvartzshnaider co-organized the 8th Annual PrivaCI Symposium took place on June 24-25, 2026 at the 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

CHI'26 on Privacy Cards

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 […]

Invited Talk at NYC Privacy Day

Professor Shvartzshnaider gave a talk on " In LLMs We Trust? A Contextual Integrity Perspective" at the recent NYC Privacy Day. "Hosted by DLI (Digital Life Initiative) and SETS (Security, Trust, and Safety Initiative), NYC Privacy Day 2025 is an informal setting to gather and connect researchers working on data privacy at different institutions in the greater New York City area. The schedule […]

Talk at HotPETS 2025

Professor Shvartzshnaider presented at the recent HotPETS 2025 In LLMs We Trust? A Contextual Integrity PerspectiveYan Shvartzshnaider (York University), 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 […]

[New paper] Measuring NIST Authentication Standards Compliance by Higher Education Institutions

Prof Shvartzshnaider co-authored a paper on "Measuring NIST Authentication Standards Compliance by Higher Education Institutions" with Noah Apthorpe and Boen Beavers, Colgate University  and Brett Frischmann, 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 […]

Paper presented at the 6th AAAI Workshop on Privacy-Preserving Artificial Intelligence

Prof Shvartzshnaider presented work at the 6th AAAI Workshop on Privacy-Preserving Artificial Intelligence that among the few papers selected for oral presentation at the workshop. LLM on the wall, who *now*, is the appropriate one of all?": Contextual Integrity Evaluation of LLMsYan Shvartzshnaider (York University), Vasisht Duddu (University of Waterloo)

The Conversation article: EdTech Privacy

Prof Shvartzshnaider co-authored an article on EdTech Privacy in TheConversation: "We need approaches that consider contextual norms and respect social values, since privacy is about respecting the integrity of a social context. The values in the educational context have evolved over generations to ensure information flows in appropriate ways. Embracing this perspective would help to […]

Blog post: Privacy Inserts

Post for the Balkinization Symposium on Ignacio Cofone, The Privacy Fallacy: Harm and Power in the Information Economy Cambridge University Press (2023).