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

76 citations · 237 across the 13 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2019★ 18 cited

I Am Not What I Write: Privacy Preserving Text Representation Learning

Ghazaleh Beigi, Kai Shu, Ruocheng Guo +2

Online users generate tremendous amounts of textual information by participating in different activities, such as writing reviews and sharing tweets. This textual data provides opp…

cs.CR2018★ 4 cited

Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles

Ghazaleh Beigi, Ruocheng Guo, Alexander Nou +2

The overturning of the Internet Privacy Rules by the Federal Communications Commissions (FCC) in late March 2017 allows Internet Service Providers (ISPs) to collect, share and sell…

cs.CR2018★ 23 cited

Privacy in Social Media: Identification, Mitigation and Applications

Ghazaleh Beigi, Huan Liu

The increasing popularity of social media has attracted a huge number of people to participate in numerous activities on a daily basis. This results in tremendous amounts of rich u…

cs.CR2018★ 9 cited

Social Media and User Privacy

Ghazaleh Beigi

Online users generate tremendous amounts of data. To better serve users, it is required to share the user-related data among researchers, advertisers and application developers. Pu…

cs.CR2018★ 9 cited

Securing Social Media User Data - An Adversarial Approach

Ghazaleh Beigi, Kai Shu, Yanchao Zhang +1

Social media users generate tremendous amounts of data. To better serve users, it is required to share the user-related data among researchers, advertisers and application develope…