38 citations · 65 across the 5 of their papers we have counts for
6 papers
Measuring, Characterizing, and Detecting Facebook Like Farms
Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi +5
Social networks offer convenient ways to seamlessly reach out to large audiences. In particular, Facebook pages are increasingly used by businesses, brands, and organizations to co…
Combating Fraud in Online Social Networks: Detecting Stealthy Facebook Like Farms
Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi +5
As businesses increasingly rely on social networking sites to engage with their customers, it is crucial to understand and counter reputation manipulation activities, including fra…
Characterizing Key Stakeholders in an Online Black-Hat Marketplace
Shehroze Farooqi, Muhammad Ikram, Emiliano De Cristofaro +5
Over the past few years, many black-hat marketplaces have emerged that facilitate access to reputation manipulation services such as fake Facebook likes, fraudulent search engine o…
Rademacher Observations, Private Data, and Boosting
Richard Nock, Giorgio Patrini, Arik Friedman
The minimization of the logistic loss is a popular approach to batch supervised learning. Our paper starts from the surprising observation that, when fitting linear (or kernelized)…
Paying for Likes? Understanding Facebook Like Fraud Using Honeypots
Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon +2
Facebook pages offer an easy way to reach out to a very large audience as they can easily be promoted using Facebook's advertising platform. Recently, the number of likes of a Face…
Censorship in the Wild: Analyzing Internet Filtering in Syria
Abdelberi Chaabane, Terence Chen, Mathieu Cunche +3
Internet censorship is enforced by numerous governments worldwide, however, due to the lack of publicly available information, as well as the inherent risks of performing active me…