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05/11/2022
A Longitudinal Study of Cryptographic API – a Decade of Android Malware
Cryptography has been extensively used in Android applications to guaran...
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05/04/2020
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?
Machine-learning algorithms trained on features extracted from static co...
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10/02/2019
Automotive Cybersecurity: Foundations for Next-Generation Vehicles
The automotive industry is experiencing a serious transformation due to ...
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04/23/2019
PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware
PowerShell is nowadays a widely-used technology to administrate and mana...
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11/25/2018
Poisoning Behavioral Malware Clustering
Clustering algorithms have become a popular tool in computer security to...
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11/02/2018
Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware
Malware still constitutes a major threat in the cybersecurity landscape,...
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05/24/2018
R-PackDroid: Practical On-Device Detection of Android Ransomware
Ransomware constitutes a major threat for the Android operating system. ...
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03/12/2018
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Machine-learning methods have already been exploited as useful tools for...
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03/09/2018
Explaining Black-box Android Malware Detection
Machine-learning models have been recently used for detecting malicious ...
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02/04/2018
IntelliAV: Building an Effective On-Device Android Malware Detector
The importance of employing machine learning for malware detection has b...
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10/27/2017
Adversarial Detection of Flash Malware: Limitations and Open Issues
During the past two years, Flash malware has become one of the most insi...
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11/13/2015