A Pattern Recognition System for Malicious PDF Files Detection. - Davide Maiorca; Giorgio Giacinto; Igino Corona (MLDM, 2012)

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 (AsiaCCS, 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 (ECML/PKDD (3), 2013)

Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References. - Igino Corona; Davide Maiorca; Davide Ariu; Giorgio Giacinto (AISec@CCS, 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)

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 (ACSAC, 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 (ICISSP, 2015)

An Evasion Resilient Approach to the Detection of Malicious PDF Files. - Davide Maiorca; Davide Ariu; Igino Corona; Giorgio Giacinto (ICISSP (Revised Selected Papers), 2015)

Clustering android malware families by http traffic. - Marco Aresu; Davide Ariu; Mansour Ahmadi; Davide Maiorca; Giorgio Giacinto (MALWARE, 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)

Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation. - Johannes Hoffmann; Teemu Rytilahti; Davide Maiorca; Marcel Winandy; Giorgio Giacinto; Thorsten Holz (CODASPY, 2016)

AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack. - Igino Corona; Battista Biggio; Davide Maiorca (CoRR, 2016)

Design and implementation of robust systems for secure malware detection. - Davide Maiorca (2016)

Detection of Malicious Scripting Code Through Discriminant and Adversary-Aware API Analysis. - Davide Maiorca; Paolo Russu; Igino Corona; Battista Biggio; Giorgio Giacinto (ITASEC, 2017)

R-PackDroid: API package-based characterization and detection of mobile ransomware. - Davide Maiorca; Francesco Mercaldo; Giorgio Giacinto; Corrado Aaron Visaggio; Fabio Martinelli (SAC, 2017)

Adversarial Detection of Flash Malware: Limitations and Open Issues. - Davide Maiorca; Battista Biggio; Maria Elena Chiappe; Giorgio Giacinto (CoRR, 2017)

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables. - Bojan Kolosnjaji; Ambra Demontis; Battista Biggio; Davide Maiorca; Giorgio Giacinto; Claudia Eckert 001; Fabio Roli (EUSIPCO, 2018)

Explaining Black-box Android Malware Detection. - Marco Melis; Davide Maiorca; Battista Biggio; Giorgio Giacinto; Fabio Roli (EUSIPCO, 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)

Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware. - Davide Maiorca; Battista Biggio; Giorgio Giacinto (CoRR, 2018)

PowerDrive: Accurate De-obfuscation and Analysis of PowerShell Malware. - Denis Ugarte; Davide Maiorca; Fabrizio Cara; Giorgio Giacinto (DIMVA, 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)

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks. - Davide Maiorca; Battista Biggio; Giorgio Giacinto (ACM Comput. Surv., 2019)

Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware. - Davide Maiorca; Battista Biggio (IEEE Secur. Priv., 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)

Adversarial Detection of Flash Malware: Limitations and Open Issues. - Davide Maiorca; Ambra Demontis; Battista Biggio; Fabio Roli; Giorgio Giacinto (Comput. Secur., 2020)

On the Feasibility of Adversarial Sample Creation Using the Android System API. - Fabrizio Cara; Michele Scalas; Giorgio Giacinto; Davide Maiorca (Inf., 2020)

PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis. - Giuseppe Mario Malandrone; Giovanni Virdis; Giorgio Giacinto; Davide Maiorca (ITASEC, 2021)

Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware. - Francesco Meloni; Alessandro Sanna; Davide Maiorca; Giorgio Giacinto (DIMVA, 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 (ESORICS (3), 2022)

Explaining the Use of Cryptographic API in Android Malware. - Adam Janovsky; Davide Maiorca; Dominik Macko; Vashek Matyas; Giorgio Giacinto (ICSBT/SECRYPT (Revised Selected Papers), 2022)

A Longitudinal Study of Cryptographic API: A Decade of Android Malware. - Adam Janovsky; Davide Maiorca; Dominik Macko; Vashek Matyas; Giorgio Giacinto (SECRYPT, 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)

Cybersecurity and AI: The PRALab Research Experience. - Maura Pintor; Giulia Orrù; Davide Maiorca; Ambra Demontis; Luca Demetrio; Gian Luca Marcialis; Battista Biggio; Fabio Roli (Ital-IA, 2023)

A Targeted Assessment of Cross-Site Scripting Detection Tools. - Bruno Pala; Lorenzo Pisu; Silvia Lucia Sanna; Davide Maiorca; Giorgio Giacinto (ITASEC, 2023)

Can you See me? On the Visibility of NOPs against Android Malware Detectors. - Diego Soi; Davide Maiorca; Giorgio Giacinto; Harel Berger (CoRR, 2023)

HTTP/3 will not Save you from Request Smuggling: A Methodology to Detect HTTP/3 Header (mis)Validations. - Lorenzo Pisu; Federico Loi; Davide Maiorca; Giorgio Giacinto (NCA, 2024)

Do You Trust Your Device? Open Challenges in IoT Security Analysis. - Lorenzo Binosi; Pietro Mazzini; Alessandro Sanna; Michele Carminati; Giorgio Giacinto; Riccardo Lazzeretti; Stefano Zanero; Mario Polino; Emilio Coppa; Davide Maiorca (SECRYPT, 2024)

Bringing Binary Exploitation at Port 80: Understanding C Vulnerabilities in WebAssembly. - Emmanuele Massidda; Lorenzo Pisu; Davide Maiorca; Giorgio Giacinto (SECRYPT, 2024)

A Survey of the Overlooked Dangers of Template Engines. - Lorenzo Pisu; Davide Maiorca; Giorgio Giacinto (CoRR, 2024)

Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study. - Silvia Lucia Sanna; Leonardo Regano; Davide Maiorca; Giorgio Giacinto (CoRR, 2024)

A risk estimation study of native code vulnerabilities in Android applications. - Silvia Lucia Sanna; Diego Soi; Davide Maiorca; Giorgio Fumera; Giorgio Giacinto (J. Cybersecur., 2024)

Enhancing android malware detection explainability through function call graph APIs. - Diego Soi; Alessandro Sanna; Davide Maiorca; Giorgio Giacinto (J. Inf. Secur. Appl., 2024)

Oblivion Results. - Alessandro Sanna; Fabrizio Cara; Davide Maiorca (IEEE DataPort, 2024)

Oblivion: an open-source system for large-scale analysis of macro-based office malware. - Alessandro Sanna; Fabrizio Cara; Davide Maiorca; Giorgio Giacinto (J. Comput. Virol. Hacking Tech., 2024)

Are Trees Really Green? A Detection Approach of IoT Malware Attacks. - Silvia Lucia Sanna; Diego Soi; Davide Maiorca; Giorgio Giacinto (ARES (Workshops 1), 2025)

An Experimental Analysis of Semi-supervised Learning for Malware Detection. - Luca Minnei; Giorgio Piras; Angelo Sotgiu; Maura Pintor; Ambra Demontis; Davide Maiorca; Battista Biggio (ITASEC/SERICS, 2025)

Exposing the Cracks: A Case Study on the Quality of Public Linux Malware Data Sets. - Alessandro Sanna; Daniele Canavese; Leonardo Regano; Davide Maiorca; Giorgio Giacinto (ITASEC/SERICS, 2025)

On the Feasibility of Android Stegomalware: A Detection Study. - Diego Soi; Silvia Lucia Sanna; Angelica Liguori; Marco Zuppelli; Leonardo Regano; Davide Maiorca; Luca Caviglione; Giuseppe Manco 001; Giorgio Giacinto (ITASEC/SERICS, 2025)