32 citations · 87 across the 12 of their papers we have counts for
14 papers
From Data Leverage to Data Co-Ops: An Institutional Model for User Control over Information Access
Caleb Malchik, Joan Feigenbaum
Internet companies derive value from users by recording and influencing their behavior. Users can pressure companies to refrain from certain invasive and manipulative practices by…
On Heuristic Models, Assumptions, and Parameters
Samuel Judson, Joan Feigenbaum
Insightful interdisciplinary collaboration is essential to the principled governance of technology. When such efforts address the interaction between computation and society, they…
Privacy-Preserving XGBoost Inference
Xianrui Meng, Joan Feigenbaum
Although machine learning (ML) is widely used for predictive tasks, there are important scenarios in which ML cannot be used or at least cannot achieve its full potential. A major…
PriFi: Low-Latency Anonymity for Organizational Networks
Ludovic Barman, Italo Dacosta, Mahdi Zamani +5
Organizational networks are vulnerable to traffic-analysis attacks that enable adversaries to infer sensitive information from the network traffic - even if encryption is used. Typ…
Open, privacy-preserving protocols for lawful surveillance
Aaron Segal, Joan Feigenbaum, Bryan Ford
The question of how government agencies can acquire actionable, useful information about legitimate but unknown targets without intruding upon the electronic activity of innocent p…
Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection
Aaron Johnson, Rob Jansen, Aaron D. Jaggard +2
Tor users are vulnerable to deanonymization by an adversary that can observe some Tor relays or some parts of the network. We demonstrate that previous network-aware path-selection…