279 citations · 281 across the 3 of their papers we have counts for
3 papers
Testing Differential Privacy with Dual Interpreters
Hengchu Zhang, Edo Roth, Andreas Haeberlen +2
Applying differential privacy at scale requires convenient ways to check that programs computing with sensitive data appropriately preserve privacy. We propose here a fully automat…
Fuzzi: A Three-Level Logic for Differential Privacy
Hengchu Zhang, Edo Roth, Andreas Haeberlen +2
Curators of sensitive datasets sometimes need to know whether queries against the data are differentially private [Dwork et al. 2006]. Two sorts of logics have been proposed for ch…
Differential Privacy: An Economic Method for Choosing Epsilon
Justin Hsu, Marco Gaboardi, Andreas Haeberlen +4
Differential privacy is becoming a gold standard for privacy research; it offers a guaranteed bound on loss of privacy due to release of query results, even under worst-case assump…