A Software Architecture for Progressive Scanning of On-line Communities. - Roberto Baldoni; Fabrizio d'Amore; Massimo Mecella; Daniele Ucci (ICDCS Workshops, 2014)

An Architecture for Semi-Automatic Collaborative Malware Analysis for CIs. - Giuseppe Laurenza; Daniele Ucci; Leonardo Aniello; Roberto Baldoni (DSN Workshops, 2016)

Towards the Usage of Invariant-Based App Behavioral Fingerprinting for the Detection of Obfuscated Versions of Known Malware. - Zigrid Shehu; Claudio Ciccotelli; Daniele Ucci; Leonardo Aniello; Roberto Baldoni (NGMAST, 2016)

Share a pie?: Privacy-Preserving Knowledge Base Export through Count-min Sketches. - Daniele Ucci; Leonardo Aniello; Roberto Baldoni (CODASPY, 2017)

Android malware family classification based on resource consumption over time. - Luca Massarelli; Leonardo Aniello; Claudio Ciccotelli; Leonardo Querzoni; Daniele Ucci; Roberto Baldoni (MALWARE, 2017)

The goods, the bads and the uglies: Supporting decisions in malware detection through visual analytics. - Marco Angelini; Leonardo Aniello; Simone Lenti; Giuseppe Santucci; Daniele Ucci (VizSEC, 2017)

Survey on the Usage of Machine Learning Techniques for Malware Analysis. - Daniele Ucci; Leonardo Aniello; Roberto Baldoni (CoRR, 2017)

Survey of machine learning techniques for malware analysis. - Daniele Ucci; Leonardo Aniello; Roberto Baldoni (Comput. Secur., 2019)

Towards a Practical Differentially Private Collaborative Phone Blacklisting System. - Daniele Ucci; Roberto Perdisci; Jaewoo Lee; Mustaque Ahamad (ACSAC, 2020)

Building a Collaborative Phone Blacklisting System with Local Differential Privacy. - Daniele Ucci; Roberto Perdisci; Jaewoo Lee; Mustaque Ahamad (CoRR, 2020)

AndroDFA: Android Malware Classification Based on Resource Consumption. - Luca Massarelli; Leonardo Aniello; Claudio Ciccotelli; Leonardo Querzoni; Daniele Ucci; Roberto Baldoni (Inf., 2020)

Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. - Daniele Ucci; Filippo Sobrero; Federica Bisio; Matteo Zorzino (SSCI, 2021)

Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning. - Nicola Loi; Claudio Borile; Daniele Ucci (CoRR, 2021)

PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. - Giovanni Graziano; Daniele Ucci; Federica Bisio; Luca Oneto (OL2A (1), 2023)

Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques. - Filippo Sobrero; Beatrice Clavarezza; Daniele Ucci; Federica Bisio (J. Cybersecur. Priv., 2023)