39 citations · 177 across the 20 of their papers we have counts for
4 papers · 1 filter
MalPhase: Fine-Grained Malware Detection Using Network Flow Data
Michal Piskozub, Fabio De Gaspari, Frederick Barr-Smith +2
Economic incentives encourage malware authors to constantly develop new, increasingly complex malware to steal sensitive data or blackmail individuals and companies into paying lar…
PassFlow: Guessing Passwords with Generative Flows
Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari +1
Recent advances in generative machine learning models rekindled research interest in the area of password guessing. Data-driven password guessing approaches based on GANs, language…
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta +2
Several cybersecurity domains, such as ransomware detection, forensics and data analysis, require methods to reliably identify encrypted data fragments. Typically, current approach…
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training
Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi +1
In this technical report, we evaluate the adversarial robustness of a very recent method called "Geometry-aware Instance-reweighted Adversarial Training"[7]. GAIRAT reports state-o…