activity
20172019
most citedEvasion Attacks against Machine Learning at Test Time

889 citations · 890 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CR2019

Automotive Cybersecurity: Foundations for Next-Generation Vehicles

Michele Scalas, Giorgio Giacinto

The automotive industry is experiencing a serious transformation due to a digitalisation process and the transition to the new paradigm of Mobility-as-a-Service. The next-generatio…

cs.CR20191 cited

PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware

Denis Ugarte, Davide Maiorca, Fabrizio Cara +1

PowerShell is nowadays a widely-used technology to administrate and manage Windows-based operating systems. However, it is also extensively used by malware vectors to execute paylo…

cs.LG2018

Poisoning Behavioral Malware Clustering

Battista Biggio, Konrad Rieck, Davide Ariu +4

Clustering algorithms have become a popular tool in computer security to analyze the behavior of malware variants, identify novel malware families, and generate signatures for anti…

cs.CR2018

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

Davide Maiorca, Battista Biggio, Giorgio Giacinto

Malware still constitutes a major threat in the cybersecurity landscape, also due to the widespread use of infection vectors such as documents. These infection vectors hide embedde…

cs.CR2018

On the Effectiveness of System API-Related Information for Android Ransomware Detection

Michele Scalas, Davide Maiorca, Francesco Mercaldo +3

Ransomware constitutes a significant threat to the Android operating system. It can either lock or encrypt the target devices, and victims are forced to pay ransoms to restore thei…

cs.CR2018

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Bojan Kolosnjaji, Ambra Demontis, Battista Biggio +4

Machine-learning methods have already been exploited as useful tools for detecting malicious executable files. They leverage data retrieved from malware samples, such as header fie…