Fabio Pierazzi

61 papers A* 9A 4C 1Journal 32Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift. AAAI Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2026	J	`jnl`	SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity. CoRR Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, Fabio Pierazzi
2025	J	`jnl`	Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift. CoRR Theo Chow, Mario D'Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, Fabio Pierazzi
2025	J	`jnl`	DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift. CoRR Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2025	J	`jnl`	Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]. ACM Trans. Priv. Secur. Jacopo Cortellazzi, Erwin Quiring, Daniel Arp, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2025	J	`jnl`	KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs. CoRR Xin Fan Guo, Albert Meroño-Peñuela, Sergio Maffeis, Fabio Pierazzi
2025	—	`conf`	ML-Based Behavioral Malware Detection Is Far From a Solved Problem. SaTML Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2025	A	`conf`	The Adaptive Arms Race: Redefining Robustness in AI Security. RAID Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
2025	J	`jnl`	Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks. CoRR Alberto Battistello, Guido Bertoni, Michele Corrias, Lorenzo Nava, Davide Rusconi, Matteo Zoia, Fabio Pierazzi, Andrea Lanzi
2024	A*	`conf`	Characterizing Physical Adversarial Attacks on Robot Motion Planners. ICRA Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brandão
2024	J	`jnl`	Demystifying Behavior-Based Malware Detection at Endpoints. CoRR Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2024	—	`conf`	EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems. CPSIOTSEC@CCS Davide Rusconi, Matteo Zoia, Luca Buccioli, Fabio Pierazzi, Danilo Bruschi, Lorenzo Cavallaro, Flavio Toffalini, Andrea Lanzi
2024	A	`conf`	How to Train your Antivirus: RL-based Hardening through the Problem Space. RAID Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
2024	J	`jnl`	How to Train your Antivirus: RL-based Hardening through the Problem-Space. CoRR Jacopo Cortellazzi, Ilias Tsingenopoulos, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
2024	J	`jnl`	On the Effectiveness of Adversarial Training on Malware Classifiers. CoRR Hamid Bostani, Jacopo Cortellazzi, Daniel Arp, Fabio Pierazzi, Veelasha Moonsamy, Lorenzo Cavallaro
2024	J	`jnl`	Pitfalls in Machine Learning for Computer Security. Commun. ACM Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024	J	`jnl`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). CoRR Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
2024	—	`conf`	The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers. ACSAC Workshops Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2024	J	`jnl`	Unraveling the Key of Machine Learning Solutions for Android Malware Detection. CoRR Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang
2024	—	`conf`	WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. SP (Workshops) Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi
2024	—	`conf`	When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS. AISec@CCS Giovanni Apruzzese, Aurore Fass, Fabio Pierazzi
2023	—	`conf`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2023	J	`jnl`	Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
2023	J	`jnl`	Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
2023	—	`conf`	Drift Forensics of Malware Classifiers. AISec@CCS Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
2023	—	`conf`	Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. SP (Workshops) Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023	A*	`conf`	Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. SP Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023	J	`jnl`	Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2023	A*	`conf`	Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. CCS Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2022	J	`jnl`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2022	A*	`conf`	Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022	A	`conf`	Exploring the security and privacy risks of chatbots in messaging services. IMC Jide S. Edu, Cliona Mulligan, Fabio Pierazzi, Jason Polakis, Guillermo Suarez-Tangil, Jose M. Such
2022	J	`jnl`	Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. CoRR Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2022	A*	`conf`	Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. SP Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2022	A	`conf`	WoRMA '22: 1st Workshop on Robust Malware Analysis. AsiaCCS Fabio Pierazzi, Nedim Srndic
2022	—	`ed.`	WoRMA@AsiaCCS 2022: Proceedings of the 1st Workshop on Robust Malware Analysis, Nagasaki, Japan, 30 May 2022 WoRMA@AsiaCCS Fabio Pierazzi, Nedim Srndic
2021	J	`jnl`	$\sf {DBank}$DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans. IEEE Trans. Dependable Secur. Comput. Chongyang Bai, Qian Han, Ghita Mezzour, Fabio Pierazzi, V. S. Subrahmanian
2021	J	`jnl`	Glyph: Efficient ML-Based Detection of Heap Spraying Attacks. IEEE Trans. Inf. Forensics Secur. Fabio Pierazzi, Stefano Cristalli, Danilo Bruschi, Michele Colajanni, Mirco Marchetti, Andrea Lanzi
2021	—	`conf`	INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021	—	`conf`	Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021	J	`jnl`	Universal Adversarial Perturbations for Malware. CoRR Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
2020	J	`jnl`	A Data-driven Characterization of Modern Android Spyware. ACM Trans. Manag. Inf. Syst. Fabio Pierazzi, Ghita Mezzour, Qian Han, Michele Colajanni, V. S. Subrahmanian
2020	J	`jnl`	Detection and Threat Prioritization of Pivoting Attacks in Large Networks. IEEE Trans. Emerg. Top. Comput. Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
2020	J	`jnl`	Dos and Don'ts of Machine Learning in Computer Security. CoRR Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2020	J	`jnl`	EC2: Ensemble Clustering and Classification for Predicting Android Malware Families. IEEE Trans. Dependable Secur. Comput. Tanmoy Chakraborty, Fabio Pierazzi, V. S. Subrahmanian
2020	A*	`conf`	Intriguing Properties of Adversarial ML Attacks in the Problem Space. SP Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2020	J	`jnl`	Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2019	J	`jnl`	Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2019	A*	`conf`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018	A*	`conf`	Enabling Fair ML Evaluations for Security. CCS Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018	J	`jnl`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2017	J	`jnl`	A Probabilistic Logic of Cyber Deception. IEEE Trans. Inf. Forensics Secur. Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian
2017	—	`conf`	Scalable architecture for online prioritisation of cyber threats. CyCon Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti
2016	J	`jnl`	Analysis of high volumes of network traffic for Advanced Persistent Threat detection. Comput. Networks Mirco Marchetti, Fabio Pierazzi, Michele Colajanni, Alessandro Guido
2016	—	`conf`	Countering Advanced Persistent Threats through security intelligence and big data analytics. CyCon Mirco Marchetti, Fabio Pierazzi, Alessandro Guido, Michele Colajanni
2016	J	`jnl`	Exploratory security analytics for anomaly detection. Comput. Secur. Fabio Pierazzi, Sara Casolari, Michele Colajanni, Mirco Marchetti
2015	—	`conf`	The Network Perspective of Cloud Security. NCCA Fabio Pierazzi, Andrea Balboni, Alessandro Guido, Mirco Marchetti
2014	C	`conf`	Efficient detection of unauthorized data modification in cloud databases. ISCC Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, Marcello Missiroli
2014	J	`jnl`	Performance and Cost Evaluation of an Adaptive Encryption Architecture for Cloud Databases. IEEE Trans. Cloud Comput. Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
2014	J	`jnl`	Scalable Architecture for Multi-User Encrypted SQL Operations on Cloud Database Services. IEEE Trans. Cloud Comput. Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
2014	—	`conf`	Security and privacy of location-based services for in-vehicle device systems. HPCS Marcello Missiroli, Fabio Pierazzi, Michele Colajanni