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20162025
most citedPrivacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

76 citations · 88 across the 19 of their papers we have counts for

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13 papers · 1 filter

cs.SI2020

A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts

Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar +4

Over the past few years, we have observed different media outlets' attempts to shift public opinion by framing information to support a narrative that facilitate their goals. Malic…

cs.SI2019★ 76 cited

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo +3

Recommendation is one of the critical applications that helps users find information relevant to their interests. However, a malicious attacker can infer users' private information…

cs.SI2019★ 1 cited

An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter

Elham Shaabani, Ashkan Sadeghi-Mobarakeh, Hamidreza Alvari +1

Pathogenic Social Media (PSM) accounts such as terrorist supporter accounts and fake news writers have the capability of spreading disinformation to viral proportions. Early detect…

cs.SI2019★ 1 cited

Understanding Information Flow in Cascades Using Network Motifs

Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian

A growing set of applications consider the process of network formation by using subgraphs as a tool for generating the network topology. One of the pressing research challenges is…

cs.SI2019

Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media

Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar +2

Recent years have witnessed a surge of manipulation of public opinion and political events by malicious social media actors. These users are referred to as "Pathogenic Social Media…

cs.SI2019

Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts

Hamidreza Alvari, Paulo Shakarian

Over the past years, political events and public opinion on the Web have been allegedly manipulated by accounts dedicated to spreading disinformation and performing malicious activ…