activity
20162025
most citedVaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network

11 citations · 37 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2025

Dynamic read & write optimization with TurtleKV

Tony Astolfi, Vidya Silai, Darby Huye +3

High read and write performance is important for generic key-value stores, which are foundational to modern applications and databases. Yet, achieving high performance for mixed an…

cs.CR2024

SPECIAL: Synopsis Assisted Secure Collaborative Analytics

Chenghong Wang, Lina Qiu, Johes Bater +1

Secure collaborative analytics (SCA) enable the processing of analytical SQL queries across multiple owners' data, even when direct data sharing is not feasible. Although essential…

cs.DB2022

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…

cs.DB2022★ 11 cited

VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network

Jennie Rogers, Elizabeth Adetoro, Johes Bater +14

Electronic health records represent a rich and growing source of clinical data for research. Privacy, regulatory, and institutional concerns limit the speed and ease of sharing thi…

cs.CR2022★ 3 cited

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…

cs.DS2021★ 1 cited

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…

cs.CR2021★ 8 cited

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…

cs.DB2018★ 9 cited

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…

cs.DB2016★ 5 cited

SMCQL: Secure Querying for Federated Databases

Johes Bater, Gregory Elliott, Craig Eggen +3

People and machines are collecting data at an unprecedented rate. Despite this newfound abundance of data, progress has been slow in sharing it for open science, business, and othe…