activity
20112022
most citedPRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data

7 citations · 14 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2022★ 7 cited

PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data

Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya +1

Open data sets that contain personal information are susceptible to adversarial attacks even when anonymized. By performing low-cost joins on multiple datasets with shared attribut…

cs.CR2022★ 3 cited

Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy

Leonard Dervishi, Xinyue Wang, Wentao Li +4

With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and…

cs.CR2021

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies

Anisa Halimi, Leonard Dervishi, Erman Ayday +5

Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. Workflow systems model and record provenance describing the steps performed…

cs.CR2018

Securely Solving the Distributed Graph Coloring Problem

Yuan Hong, Jaideep Vaidya, Haibing Lu

Combinatorial optimization is a fundamental problem found in many fields. In many real life situations, the constraints and the objective function forming the optimization problem…

cs.CR2018

Efficient Determination of Equivalence for Encrypted Data

Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang +6

Secure computation of equivalence has fundamental application in many different areas, including healthcare. We study this problem in the context of matching an individual identity…

cs.CR2016★ 3 cited

Privacy Preserving Linear Programming

Yuan Hong, Jaideep Vaidya, Nicholas Rizzo +1

With the rapid increase in computing, storage and networking resources, data is not only collected and stored, but also analyzed. This creates a serious privacy problem which often…

cs.DB2011★ 1 cited

Differentially Private Search Log Sanitization with Optimal Output Utility

Yuan Hong, Jaideep Vaidya, Haibing Lu +1

Web search logs contain extremely sensitive data, as evidenced by the recent AOL incident. However, storing and analyzing search logs can be very useful for many purposes (i.e. inv…