Coordinated hate attacks (raids) on social networks are becoming an increasingly relevant problem. Unlike other types of attacks that are heavily automated and rely on bots (e.g., distributed denial of service attacks), raids are largely carried out by humans, making them harder to detect. In this project we focus on measuring and modeling raids carried out against social network users, with the goal of developing techniques that can mitigate their effect.
Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, and Jeremy Blackburn.
Best Paper Nominee ICWSM, 2017.
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Haewoon Kwak, and Jeremy Blackburn.