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02/14/2022
LiDiTE: a Full-Fledged and Featherweight Digital Twin Framework
The rising of the Cyber-Physical System (CPS) and the Industry 4.0 parad...
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08/17/2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
Recent work has shown that adversarial Windows malware samples - also re...
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06/17/2020
Never Trust Your Victim: Weaponizing Vulnerabilities in Security Scanners
The first step of every attack is reconnaissance, i.e., to acquire infor...
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03/30/2020
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations
Windows malware detectors based on machine learning are vulnerable to ad...
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01/18/2020
Automating the Generation of Cyber Range Virtual Scenarios with VSDL
A cyber range is an environment used for training security experts and t...
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01/11/2019
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
Recent work has shown that deep-learning algorithms for malware detectio...
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09/04/2012
