7 citations · 11 across the 8 of their papers we have counts for
3 papers · 1 filter
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra Slavkovic, Jeremy Seeman
To quantify trade-offs between increasing demand for open data sharing and concerns about sensitive information disclosure, statistical data privacy (SDP) methodology analyzes data…
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman, Matthew Reimherr, Aleksandra Slavkovic
Implementations of the exponential mechanism in differential privacy often require sampling from intractable distributions. When approximate procedures like Markov chain Monte Carl…
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Aleksandra Slavkovic, Roberto Molinari
Differential Privacy (DP) provides an elegant mathematical framework for defining a provable disclosure risk in the presence of arbitrary adversaries; it guarantees that whether an…