activity
20162019
most citedTiresias: Predicting Security Events Through Deep Learning

143 citations · 209 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SI2019

Detecting Cyberbullying and Cyberaggression in Social Media

Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn +4

Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been expo…

cs.CR2019

Automatically Dismantling Online Dating Fraud

Guillermo Suarez-Tangil, Matthew Edwards, Claudia Peersman +3

Online romance scams are a prevalent form of mass-marketing fraud in the West, and yet few studies have addressed the technical or data-driven responses to this problem. In this ty…

cs.CR201910 cited

ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks

Yun Shen, Gianluca Stringhini

Despite the fact that cyberattacks are constantly growing in complexity, the research community still lacks effective tools to easily monitor and understand them. In particular, th…

cs.CR2019143 cited

Tiresias: Predicting Security Events Through Deep Learning

Yun Shen, Enrico Mariconti, Pierre-Antoine Vervier +1

With the increased complexity of modern computer attacks, there is a need for defenders not only to detect malicious activity as it happens, but also to predict the specific steps…

cs.CR20178 cited

POISED: Spotting Twitter Spam Off the Beaten Paths

Shirin Nilizadeh, Francois Labreche, Alireza Sedighian +5

Cybercriminals have found in online social networks a propitious medium to spread spam and malicious content. Existing techniques for detecting spam include predicting the trustwor…

cs.SI201723 cited

Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter

Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn +3

Over the past few years, online bullying and aggression have become increasingly prominent, and manifested in many different forms on social media. However, there is little work an…