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Fabio Pierazzi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

18

Venues

9

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

18 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift.Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2025RAIDThe Adaptive Arms Race: Redefining Robustness in AI Security.Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
2024ACSACThe Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers.Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2024ICRACharacterizing Physical Adversarial Attacks on Robot Motion Planners.Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brando
2024RAIDHow to Train your Antivirus: RL-based Hardening through the Problem Space.Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bosansk, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
2024SPWENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL.Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi
2023CCSDrift Forensics of Malware Classifiers.Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
2023CCSPoster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning.Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2023SPIs It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors.Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023SPJigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers.Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2022AsiaCCSWoRMA '22: 1st Workshop on Robust Malware Analysis.Fabio Pierazzi, Nedim Srndic
2022IMCExploring the security and privacy risks of chatbots in messaging services.Jide S. Edu, Cliona Mulligan, Fabio Pierazzi, Jason Polakis, Guillermo Suarez-Tangil, Jose M. Such
2022SPTranscending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift.Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021CCSINSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021CCSInvestigating Labelless Drift Adaptation for Malware Detection.Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2020SPIntriguing Properties of Adversarial ML Attacks in the Problem Space.Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2018CCSEnabling Fair ML Evaluations for Security.Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2014ISCCEfficient detection of unauthorized data modification in cloud databases.Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, Marcello Missiroli