activity
20152020
most citedApplication-driven Privacy-preserving Data Publishing with Correlated Attributes

6 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2020

Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes

Aria Rezaei, Jie Gao, Anand D. Sarwate

The presence of correlation is known to make privacy protection more difficult. We investigate the privacy of socially contagious attributes on a network of individuals, where each…

cs.SI2019

On Privacy of Socially Contagious Attributes

Aria Rezaei, Jie Gao

A commonly used method to protect user privacy in data collection is to perform randomized perturbation on user's real data before collection so that aggregated statistics can stil…

cs.LG2018★ 6 cited

Application-driven Privacy-preserving Data Publishing with Correlated Attributes

Aria Rezaei, Chaowei Xiao, Jie Gao +2

Recent advances in computing have allowed for the possibility to collect large amounts of data on personal activities and private living spaces. To address the privacy concerns of…

cs.MA2018★ 3 cited

Improved Bounds on Information Dissemination by Manhattan Random Waypoint Model

Aria Rezaei, Jie Gao, Jeff M. Phillips +1

With the popularity of portable wireless devices it is important to model and predict how information or contagions spread by natural human mobility -- for understanding the spread…

cs.SI2017★ 2 cited

Ties That Bind - Characterizing Classes by Attributes and Social Ties

Aria Rezaei, Bryan Perozzi, Leman Akoglu

Given a set of attributed subgraphs known to be from different classes, how can we discover their differences? There are many cases where collections of subgraphs may be contrasted…

cs.SI2015★ 1 cited

Controlled Label Propagation: Preventing Over-Propagation through Gradual Expansion

Aria Rezaei, Saeed Mahlouji Far, Mahdieh Soleymani

Identifying communities has always been a fundamental task in analysis of complex networks. Many methods have been devised over the last decade for detection of communities. Amongs…