Crowdsensing and proximity services for impaired mobility. - Jacopo Cortellazzi; Luca Foschini 001; Carlos Roberto De Rolt; Antonio Corradi; Carlos Augusto Alperstedt Neto; Graziela Dias Alperstedt (ISCC, 2016)

Intriguing Properties of Adversarial ML Attacks in the Problem Space. - Fabio Pierazzi; Feargus Pendlebury; Jacopo Cortellazzi; Lorenzo Cavallaro (SP, 2020)

Inclusive Group Work Assessment for Cybersecurity. - Hannan Xiao; Joseph Spring; Ievgeniia Kuzminykh; Jacopo Cortellazzi (ITiCSE (2), 2023)

Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. - Zhi Chen 028; Zhenning Zhang; Zeliang Kan; Limin Yang; Jacopo Cortellazzi; Feargus Pendlebury; Fabio Pierazzi; Lorenzo Cavallaro; Gang Wang 011 (SP (Workshops), 2023)

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. - Limin Yang; Zhi Chen 028; Jacopo Cortellazzi; Feargus Pendlebury; Kevin Tu; Fabio Pierazzi; Lorenzo Cavallaro; Gang Wang 011 (SP, 2023)

How to Train your Antivirus: RL-based Hardening through the Problem Space. - Ilias Tsingenopoulos; Jacopo Cortellazzi; Branislav Bosanský; Simone Aonzo; Davy Preuveneers; Wouter Joosen; Fabio Pierazzi; Lorenzo Cavallaro (RAID, 2024)

On the Effectiveness of Adversarial Training on Malware Classifiers. - Hamid Bostani; Jacopo Cortellazzi; Daniel Arp; Fabio Pierazzi; Veelasha Moonsamy; Lorenzo Cavallaro (CoRR, 2024)