71 citations · 108 across the 3 of their papers we have counts for
3 papers
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
Mathias Lecuyer, Riley Spahn, Kiran Vodrahalli +2
Companies increasingly expose machine learning (ML) models trained over sensitive user data to untrusted domains, such as end-user devices and wide-access model stores. We present…
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
Mathias Lecuyer, Riley Spahn, Roxana Geambasu +2
Protecting vast quantities of data poses a daunting challenge for the growing number of organizations that collect, stockpile, and monetize it. The ability to distinguish data that…
XRay: Enhancing the Web's Transparency with Differential Correlation
Mathias Lecuyer, Guillaume Ducoffe, Francis Lan +5
Today's Web services - such as Google, Amazon, and Facebook - leverage user data for varied purposes, including personalizing recommendations, targeting advertisements, and adjusti…