activity
20122023
most cited: Efficiently Querying Databases While Providing Differential Privacy

15 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2023

Efficient Correlation Clustering Methods for Large Consensus Clustering Instances

Nathan Cordner, George Kollios

Consensus clustering (or clustering aggregation) inputs partitions of a given ground set , and seeks to create a single partition that minimizes disagreement with all input…

cs.CR2017★ 15 cited

: Efficiently Querying Databases While Providing Differential Privacy

Dmytro Bogatov, Georgios Kellaris, George Kollios +2

As organizations struggle with processing vast amounts of information, outsourcing sensitive data to third parties becomes a necessity. To protect the data, various cryptographic t…

cs.DB2016★ 1 cited

NED: An Inter-Graph Node Metric Based On Edit Distance

Haohan Zhu, Xianrui Meng, George Kollios

Node similarity is a fundamental problem in graph analytics. However, node similarity between nodes in different graphs (inter-graph nodes) has not received a lot of attention yet.…

cs.CR2015★ 2 cited

Top-k Query Processing on Encrypted Databases with Strong Security Guarantees

Xianrui Meng, Haohan Zhu, George Kollios

Privacy concerns in outsourced cloud databases have become more and more important recently and many efficient and scalable query processing methods over encrypted data have been p…

cs.DB2012

A Generic Framework for Efficient and Effective Subsequence Retrieval

Haohan Zhu, George Kollios, Vassilis Athitsos

This paper proposes a general framework for matching similar subsequences in both time series and string databases. The matching results are pairs of query subsequences and databas…