8 citations · 12 across the 4 of their papers we have counts for
5 papers
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak +1
In this paper, we consider secure outsourced growing databases that support view-based query answering. These databases allow untrusted servers to privately maintain a materialized…
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Priyanka Nanayakkara, Johes Bater, Xi He +2
Organizations often collect private data and release aggregate statistics for the public's benefit. If no steps toward preserving privacy are taken, adversaries may use released st…
Prior-Aware Distribution Estimation for Differential Privacy
Yuchao Tao, Johes Bater, Ashwin Machanavajjhala
Joint distribution estimation of a dataset under differential privacy is a fundamental problem for many privacy-focused applications, such as query answering, machine learning task…
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak +1
In this paper, we have introduced a new type of leakage associated with modern encrypted databases called update pattern leakage. We formalize the definition and security model of…
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations
Johes Bater, Xi He, William Ehrich +2
A private data federation is a set of autonomous databases that share a unified query interface offering in-situ evaluation of SQL queries over the union of the sensitive data of i…