Emily Stark

Over the past decade, HTTPS adoption has risen dramatically. The Web PKI has shifted seismically, with browsers imposing new requirements on CAs and server operators. These shifts bring security and privacy improvements for end users, but they have often been driven by incompatible browser changes that break websites, causing frustration for end users as well as server operators. Security-positive breaking changes involve a plethora of choices. Should browsers roll out a change gradually, or rip the band-aid off and deploy it all at once? How do we advertise the change and motivate different players in the ecosystem to update configurations before they break? How do different types and amounts of breakage affect the user experience? And the meta-question: how do we approach such quandaries scientifically? Drawing from several case studies in the HTTPS ecosystem, I'll talk about the science of nudging an ecosystem: methods that the web browser community has developed, and lessons we've learned, for measuring how best to get millions of websites to improve security while minimizing the frustrations of incompatibility.

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Data Poisoning Attacks to Deep Learning Based Recommender Systems

Hai Huang (Tsinghua University), Jiaming Mu (Tsinghua University), Neil Zhenqiang Gong (Duke University), Qi Li (Tsinghua University), Bin Liu (West Virginia University), Mingwei Xu (Tsinghua University)

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WeepingCAN: A Stealthy CAN Bus-off Attack

Gedare Bloom (University of Colorado Colorado Springs) Best Paper Award Winner ($300 cash prize)!

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Towards Anonymous Chatbots with (Un)Trustworthy Browser Proxies

Dzung Pham, Jade Sheffey, Chau Minh Pham, and Amir Houmansadr (University of Massachusetts Amherst)

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