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

collaborators
Showing 2018Show all

6 papers · 1 filter

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…

cs.SI2018★ 55 cited

Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media

Lydia Manikonda, Ghazaleh Beigi, Huan Liu +1

Social media platforms are revolutionizing the way users communicate by increasing the exposure to highly stigmatized issues in the society. Sexual abuse is one such issue that rec…

cs.SI2018★ 6 cited

Similar but Different: Exploiting Users' Congruity for Recommendation Systems

Ghazaleh Beigi, Huan Liu

The pervasive use of social media provides massive data about individuals' online social activities and their social relations. The building block of most existing recommendation s…