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20102023
most citedMembership Inference Attacks and Defenses in Classification Models

63 citations · 430 across the 44 of their papers we have counts for

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18 papers · 1 filter

cs.SI2020★ 1 cited

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms

Mohsen Minaei, S Chandra Mouli, Mainack Mondal +2

Over-sharing poorly-worded thoughts and personal information is prevalent on online social platforms. In many of these cases, users regret posting such content. To retrospectively…

cs.SI2017★ 46 cited

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

Mandana Saebi, Jian Xu, Lance M. Kaplan +2

Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance…

cs.SI2017

Selective Harvesting over Networks

Fabricio Murai, Diogo Rennó, Bruno Ribeiro +3

Active search (AS) on graphs focuses on collecting certain labeled nodes (targets) given global knowledge of the network topology and its edge weights under a query budget. However…

cs.SI2017★ 1 cited

Identifying User Survival Types via Clustering of Censored Social Network Data

S Chandra Mouli, Abhishek Naik, Bruno Ribeiro +1

The goal of cluster analysis in survival data is to identify clusters that are decidedly associated with the survival outcome. Previous research has explored this problem primarily…

cs.SI2017★ 4 cited

Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps

Fabricio Murai, Bruno Ribeiro, Don Towsley +1

Estimating distributions of node characteristics (labels) such as number of connections or citizenship of users in a social network via edge and node sampling is a vital part of th…

cs.SI2016★ 7 cited

Temporal Clustering in Dynamic Networks with Tensor Decomposition

Kun Tu, Bruno Ribeiro, Ananthram Swami +1

Dynamic networks are increasingly being usedd to model real world datasets. A challenging task in their analysis is to detect and characterize clusters. It is useful for analyzing…