277 citations · 1.4k across the 59 of their papers we have counts for
15 papers · 1 filter
Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites
Michael Smith, Peter Snyder, Moritz Haller +3
A core problem in the development and maintenance of crowd-sourced filter lists is that their maintainers cannot confidently predict whether (and where) a new filter list rule will…
Pool-Party: Exploiting Browser Resource Pools as Side-Channels for Web Tracking
Peter Snyder, Soroush Karami, Arthur Edelstein +2
We identify class of covert channels in browsers that are not mitigated by current defenses, which we call "pool-party" attacks. Pool-party attacks allow sites to create covert cha…
STAR: Secret Sharing for Private Threshold Aggregation Reporting
Alex Davidson, Peter Snyder, E. B. Quirk +3
Threshold aggregation reporting systems promise a practical, privacy-preserving solution for developers to learn how their applications are used "\emph{in-the-wild}". Unfortunately…
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces
Ranya Aloufi, Hamed Haddadi, David Boyle
Speech synthesis, voice cloning, and voice conversion techniques present severe privacy and security threats to users of voice user interfaces (VUIs). These techniques transform on…
Revisiting IoT Device Identification
Roman Kolcun, Diana Andreea Popescu, Vadim Safronov +4
Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such, they would greatly benefit from automated management. This requires robustly ide…
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Hamed Haddadi, Kleomenis Katevas +3
We propose and implement a Privacy-preserving Federated Learning () framework for mobile systems to limit privacy leakages in federated learning. Leveraging the widespread pr…