Guillermo Suarez-Tangil
Lecturer in Cybersecurity, King's College London
Dr Guillermo Suarez de Tangil (Principal Investigator) is a Lecturer of Computer Science at King's College London, focusing on the intersection between machine-learning, Web technologies and cyber-security.
He leverages data-driven approaches to understand security-related problems on the Web, including how polarised Web communities interact with other users in mainstream online social networks.
Through the design and development of the first system that tracks memes throughout the Web (Zannettou et al 2018), his work has been distinguished with the best paper award at a top tier venue. Here, the core of his expertise lies on the study of hateful and politics-related memes and the analysis of their origins.
Likewise, his research looks at how extremist users collude in 4chan to attack targets in other social networks like YouTube and he has recently developed methods to proactively predict these hate attacks ahead of time (Mariconti et al 2019).
Recent Publications
- Mariconti, E., Suarez-Tangil, G., Blackburn, J., De Cristofaro, E., Kourtellis, N., Leontiadis, I., ... & Stringhini, G. (2019). You know what to do: Proactive detection of YouTube videos targeted by coordinated hate attacks. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 207.
- Guillermo Suarez-Tangil, Matthew Edwards, Claudia Peersman, Gianluca Stringhini, Awais Rashid, Monica Whitty. Automatically Dismantling Online Dating Fraud. IEEE Transactions on Information Forensics and Security, July 22, 2019.
- Zannettou, S., T. Caulfield, J. Blackburn, E. De Cristofaro, M. Sirivianos, G. Stringhini, and G. Suarez Tangil, “On the Origins of Memes by Means of Fringe Web Communities” ACM Internet Measurement Conference (2018)
