Conformal Clustering and Its Application to Botnet Traffic. - Giovanni Cherubin; Ilia Nouretdinov; Alexander Gammerman; Roberto Jordaney; Zhi Wang; Davide Papini; Lorenzo Cavallaro (SLDS, 2015)

Transcend: Detecting Concept Drift in Malware Classification Models. - Roberto Jordaney; Kumar Sharad; Santanu Kumar Dash 001; Zhi Wang; Davide Papini; Ilia Nouretdinov; Lorenzo Cavallaro (USENIX Security Symposium, 2017)

Enabling Fair ML Evaluations for Security. - Feargus Pendlebury; Fabio Pierazzi; Roberto Jordaney; Johannes Kinder; Lorenzo Cavallaro (CCS, 2018)

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. - Feargus Pendlebury; Fabio Pierazzi; Roberto Jordaney; Johannes Kinder; Lorenzo Cavallaro (USENIX Security Symposium, 2019)

Machine learning techniques for evolving threats. - Roberto Jordaney (2019)

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). - Zeliang Kan; Shae McFadden; Daniel Arp; Feargus Pendlebury; Roberto Jordaney; Johannes Kinder; Fabio Pierazzi; Lorenzo Cavallaro (CoRR, 2024)