Davide Maiorca

According to our database, Davide Maiorca authored at least 37 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Enhancing android malware detection explainability through function call graph APIs.

Diego Soi, Alessandro Sanna, Davide Maiorca, Giorgio Giacinto

J. Inf. Secur. Appl., February, 2024

2023

Can you See me? On the Visibility of NOPs against Android Malware Detectors.

Diego Soi, Davide Maiorca, Giorgio Giacinto, Harel Berger

CoRR, 2023

A Targeted Assessment of Cross-Site Scripting Detection Tools.

Bruno Pala, Lorenzo Pisu, Silvia Lucia Sanna, Davide Maiorca, Giorgio Giacinto

Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

Cybersecurity and AI: The PRALab Research Experience.

Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli

Proceedings of the Italia Intelligenza Artificiale, 2023

2022

Do gradient-based explanations tell anything about adversarial robustness to android malware?

Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli

Int. J. Mach. Learn. Cybern., 2022

A Longitudinal Study of Cryptographic API: A Decade of Android Malware.

Adam Janovsky, Davide Maiorca, Dominik Macko, Vashek Matyas, Giorgio Giacinto

Proceedings of the 19th International Conference on Security and Cryptography, 2022

Explaining the Use of Cryptographic API in Android Malware.

Adam Janovsky, Davide Maiorca, Dominik Macko, Vashek Matyas, Giorgio Giacinto

Proceedings of the E-Business and Telecommunications - 19th International Conference, 2022

Reach Me if You Can: On Native Vulnerability Reachability in Android Apps.

Luca Borzacchiello, Emilio Coppa, Davide Maiorca, Andrea Columbu, Camil Demetrescu, Giorgio Giacinto

Proceedings of the Computer Security - ESORICS 2022, 2022

Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware.

Francesco Meloni, Alessandro Sanna, Davide Maiorca, Giorgio Giacinto

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2022

2021

PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis.

Giuseppe Mario Malandrone, Giovanni Virdis, Giorgio Giacinto, Davide Maiorca

Proceedings of the Italian Conference on Cybersecurity, 2021

2020

On the Feasibility of Adversarial Sample Creation Using the Android System API.

Fabrizio Cara, Michele Scalas, Giorgio Giacinto, Davide Maiorca

Inf., 2020

Adversarial Detection of Flash Malware: Limitations and Open Issues.

Davide Maiorca, Ambra Demontis, Battista Biggio, Fabio Roli, Giorgio Giacinto

Comput. Secur., 2020

2019

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection.

Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli

IEEE Trans. Dependable Secur. Comput., 2019

Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware.

Davide Maiorca, Battista Biggio

IEEE Secur. Priv., 2019

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

Davide Maiorca, Battista Biggio, Giorgio Giacinto

ACM Comput. Surv., 2019

On the effectiveness of system API-related information for Android ransomware detection.

Michele Scalas, Davide Maiorca, Francesco Mercaldo, Corrado Aaron Visaggio, Fabio Martinelli, Giorgio Giacinto

Comput. Secur., 2019

PowerDrive: Accurate De-obfuscation and Analysis of PowerShell Malware.

Denis Ugarte, Davide Maiorca, Fabrizio Cara, Giorgio Giacinto

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2019

2018

Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware.

Davide Maiorca, Battista Biggio, Giorgio Giacinto

CoRR, 2018

R-PackDroid: Practical On-Device Detection of Android Ransomware.

Michele Scalas, Davide Maiorca, Francesco Mercaldo, Corrado Aaron Visaggio, Fabio Martinelli, Giorgio Giacinto

CoRR, 2018

Explaining Black-box Android Malware Detection.

Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli

Proceedings of the 26th European Signal Processing Conference, 2018

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

Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Adversarial Detection of Flash Malware: Limitations and Open Issues.

Davide Maiorca, Battista Biggio, Maria Elena Chiappe, Giorgio Giacinto

CoRR, 2017

R-PackDroid: API package-based characterization and detection of mobile ransomware.

Davide Maiorca, Francesco Mercaldo, Giorgio Giacinto, Corrado Aaron Visaggio, Fabio Martinelli

Proceedings of the Symposium on Applied Computing, 2017

Detection of Malicious Scripting Code Through Discriminant and Adversary-Aware API Analysis.

Davide Maiorca, Paolo Russu, Igino Corona, Battista Biggio, Giorgio Giacinto

Proceedings of the First Italian Conference on Cybersecurity (ITASEC17), 2017

2016

Design and implementation of robust systems for secure malware detection.

Davide Maiorca

PhD thesis, 2016

AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack.

Igino Corona, Battista Biggio, Davide Maiorca

CoRR, 2016

Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation.

Johannes Hoffmann, Teemu Rytilahti, Davide Maiorca, Marcel Winandy, Giorgio Giacinto, Thorsten Holz

Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016

2015

Stealth attacks: An extended insight into the obfuscation effects on Android malware.

Davide Maiorca, Davide Ariu, Igino Corona, Marco Aresu, Giorgio Giacinto

Comput. Secur., 2015

Clustering android malware families by http traffic.

Marco Aresu, Davide Ariu, Mansour Ahmadi, Davide Maiorca, Giorgio Giacinto

Proceedings of the 10th International Conference on Malicious and Unwanted Software, 2015

An Evasion Resilient Approach to the Detection of Malicious PDF Files.

Davide Maiorca, Davide Ariu, Igino Corona, Giorgio Giacinto

Proceedings of the Information Systems Security and Privacy, 2015

A Structural and Content-based Approach for a Precise and Robust Detection of Malicious PDF Files.

Davide Maiorca, Davide Ariu, Igino Corona, Giorgio Giacinto

Proceedings of the ICISSP 2015, 2015

On the Robustness of Mobile Device Fingerprinting: Can Mobile Users Escape Modern Web-Tracking Mechanisms?

Thomas Hupperich, Davide Maiorca, Marc Kührer, Thorsten Holz, Giorgio Giacinto

Proceedings of the 31st Annual Computer Security Applications Conference, 2015

2014

Security Evaluation of Support Vector Machines in Adversarial Environments.

Battista Biggio, Igino Corona, Blaine Nelson, Benjamin I. P. Rubinstein, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto, Fabio Roli

CoRR, 2014

Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References.

Igino Corona, Davide Maiorca, Davide Ariu, Giorgio Giacinto

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

2013

Evasion Attacks against Machine Learning at Test Time.

Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Looking at the bag is not enough to find the bomb: an evasion of structural methods for malicious PDF files detection.

Davide Maiorca, Igino Corona, Giorgio Giacinto

Proceedings of the 8th ACM Symposium on Information, Computer and Communications Security, 2013

2012

A Pattern Recognition System for Malicious PDF Files Detection.

Davide Maiorca, Giorgio Giacinto, Igino Corona

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012