Stanford Security Lunch

Welcome to Security Lunch. We host speakers from both industry and academia to give talks related to applied cryptography, and system and network security.
If you're interested in attending, please sign up for the mailing list to receive updates about upcoming talks. There is an option to join virtually on Zoom.
If you're interested in giving a talk, we would love to have you! Please find more details in the About page.
You can find the upcoming and past talks for the current quarter below. We meet every Wednesday, 12 pm in Gates 415.

Fall 2024

Upcoming

Abstract: Web advertising is at a pivotal moment, with a real opportunity to improve online privacy. However, technical challenges are stalling progress, particularly the difficulty of building high-utility, privacy-preserving advertising APIs. This challenge remains a significant roadblock to getting major entities to commit to disabling current web tracking methods without viable alternatives. Despite these setbacks, there is strong interest from most major browsers in replacing invasive third-party tracking with privacy-conscious APIs that meet both advertisers' needs and user privacy expectations. This is where the privacy research community must step in. We need to tackle real-world challenges and provide solutions that work for both advertisers and users. In this talk, I’ll present our group’s work—developed in collaboration with Meta and Mozilla and as part of our engagement with an industry-led W3C community group—on a privacy architecture that balances robust user privacy with advertiser utility. This architecture has been integrated into Mozilla’s latest privacy-preserving API proposal, which recently passed a W3C consensus call to move toward standardization. Our upcoming SOSP 2024 paper (https://arxiv.org/abs/2405.16719) describes, analyzes, and evaluates this architecture. However, many challenges remain. My message to the privacy and security community is clear: now is the time to engage. If we don’t act, these promising changes may not lead to meaningful privacy improvements, and the responsibility will lie with us as much as with the industry.

Bio: Roxana Geambasu is an Associate Professor of Computer Science at Columbia University, specializing in the development of privacy architectures for the web, mobile devices, and smart cities. Her work focuses on creating comprehensive, practical solutions to enhance data privacy in these environments. She has received several awards for her contributions, including the Alfred P. Sloan Faculty Fellowship, the Microsoft Research Faculty Fellowship, and the NSF CAREER Award. She was also recognized in Popular Science’s “Brilliant 10” list and received an Early Career Award in Cybersecurity from the University of Washington Center for Academic Excellence. In addition, her doctoral work was honored with the Honorable Mention for the inaugural Dennis M. Ritchie Doctoral Dissertation Award and the William Chan Dissertation Award. Geambasu has earned two best paper awards at top systems conferences and was the recipient of the first-ever Google Ph.D. Fellowship in Cloud Computing.

Past