2 citations · 3 across the 3 of their papers we have counts for
4 papers
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Limin Yang, Zhi Chen, Jacopo Cortellazzi +5
Malware classifiers are subject to training-time exploitation due to the need to regularly retrain using samples collected from the wild. Recent work has demonstrated the feasibili…
Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets
Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro
Attributing a piece of malware to its creator typically requires threat intelligence. Binary attribution increases the level of difficulty as it mostly relies upon the ability to d…
Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists
Simon Bell, Kenny Paterson, Lorenzo Cavallaro
With more than 500 million daily tweets from over 330 million active users, Twitter constantly attracts malicious users aiming to carry out phishing and malware-related attacks aga…
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney +2
Is Android malware classification a solved problem? Published F1 scores of up to 0.99 appear to leave very little room for improvement. In this paper, we argue that results are com…