activity
20122016
most citedPrivBasis: Frequent Itemset Mining with Differential Privacy

21 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2016

Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine

Kasper Grud Skat Madsen, Yongluan Zhou, Jianneng Cao

Load balancing, operator instance collocations and horizontal scaling are critical issues in Parallel Stream Processing Engines to achieve low data processing latency, optimized cl…

cs.CR20152 cited

Differentially Private -Means Clustering

Dong Su, Jianneng Cao, Ninghui Li +2

There are two broad approaches for differentially private data analysis. The interactive approach aims at developing customized differentially private algorithms for various data m…

cs.CR20151 cited

Differentially Private Projected Histograms of Multi-Attribute Data for Classification

Dong Su, Jianneng Cao, Ninghui Li

In this paper, we tackle the problem of constructing a differentially private synopsis for the classification analyses. Several the state-of-the-art methods follow the structure of…

cs.DB20123 cited

Publishing Microdata with a Robust Privacy Guarantee

Jianneng Cao, Panagiotis Karras

Today, the publication of microdata poses a privacy threat. Vast research has striven to define the privacy condition that microdata should satisfy before it is released, and devis…

cs.DB201221 cited

PrivBasis: Frequent Itemset Mining with Differential Privacy

Ninghui Li, Wahbeh Qardaji, Dong Su +1

The discovery of frequent itemsets can serve valuable economic and research purposes. Releasing discovered frequent itemsets, however, presents privacy challenges. In this paper, w…