Fabio Pierazzi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Malware Detection

Ensemble Clustering

Machine Learning

Top Venues

IEEE Symposium on Security and Privacy

IEEE Trans. Inf. Forensics Secur.

Publications

Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi
WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. SP (Workshops) (2024)
Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brandão
Characterizing Physical Adversarial Attacks on Robot Motion Planners. ICRA (2024)
Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang
Unraveling the Key of Machine Learning Solutions for Android Malware Detection. CoRR (2024)
Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR (2024)
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). CoRR (2024)
Jacopo Cortellazzi, Ilias Tsingenopoulos, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
How to Train your Antivirus: RL-based Hardening through the Problem-Space. CoRR (2024)
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. SP (2023)
Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
Drift Forensics of Malware Classifiers. AISec@CCS (2023)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. 21 (5) (2023)
Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. 21 (2) (2023)
Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. SP Workshops (2023)
Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. CCS (2023)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML (2023)
Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR (2023)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR (2022)
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. CoRR (2022)
Jide S. Edu, Cliona Mulligan, Fabio Pierazzi, Jason Polakis, Guillermo Suarez-Tangil, Jose M. Such
Exploring the security and privacy risks of chatbots in messaging services. IMC (2022)
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. IEEE Symposium on Security and Privacy (2022)
Fabio Pierazzi, Nedim Srndic
WoRMA '22: 1st Workshop on Robust Malware Analysis. AsiaCCS (2022)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium (2022)
Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS (2021)
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS (2021)
Fabio Pierazzi, Stefano Cristalli, Danilo Bruschi, Michele Colajanni, Mirco Marchetti, Andrea Lanzi
Glyph: Efficient ML-Based Detection of Heap Spraying Attacks. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Chongyang Bai, Qian Han, Ghita Mezzour, Fabio Pierazzi, V. S. Subrahmanian
$\sf {DBank}$DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans. IEEE Trans. Dependable Secur. Comput. 18 (3) (2021)
Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
Universal Adversarial Perturbations for Malware. CoRR (2021)
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
Intriguing Properties of Adversarial ML Attacks in the Problem Space. IEEE Symposium on Security and Privacy (2020)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. CoRR (2020)
Tanmoy Chakraborty, Fabio Pierazzi, V. S. Subrahmanian
EC2: Ensemble Clustering and Classification for Predicting Android Malware Families. IEEE Trans. Dependable Secur. Comput. 17 (2) (2020)
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR (2020)
Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
Detection and Threat Prioritization of Pivoting Attacks in Large Networks. IEEE Trans. Emerg. Top. Comput. 8 (2) (2020)
Fabio Pierazzi, Ghita Mezzour, Qian Han, Michele Colajanni, V. S. Subrahmanian
A Data-driven Characterization of Modern Android Spyware. ACM Trans. Manag. Inf. Syst. 11 (1) (2020)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium (2019)
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR (2019)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR (2018)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
Enabling Fair ML Evaluations for Security. CCS (2018)
Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti
Scalable architecture for online prioritisation of cyber threats. CyCon (2017)
Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian
A Probabilistic Logic of Cyber Deception. IEEE Trans. Inf. Forensics Secur. 12 (11) (2017)
Mirco Marchetti, Fabio Pierazzi, Alessandro Guido, Michele Colajanni
Countering Advanced Persistent Threats through security intelligence and big data analytics. CyCon (2016)
Fabio Pierazzi, Sara Casolari, Michele Colajanni, Mirco Marchetti
Exploratory security analytics for anomaly detection. Comput. Secur. 56 (2016)
Mirco Marchetti, Fabio Pierazzi, Michele Colajanni, Alessandro Guido
Analysis of high volumes of network traffic for Advanced Persistent Threat detection. Comput. Networks 109 (2016)
Fabio Pierazzi, Andrea Balboni, Alessandro Guido, Mirco Marchetti
The Network Perspective of Cloud Security. NCCA (2015)
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
Performance and Cost Evaluation of an Adaptive Encryption Architecture for Cloud Databases. IEEE Trans. Cloud Comput. 2 (2) (2014)
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, Marcello Missiroli
Efficient detection of unauthorized data modification in cloud databases. ISCC (2014)
Marcello Missiroli, Fabio Pierazzi, Michele Colajanni
Security and privacy of location-based services for in-vehicle device systems. HPCS (2014)
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
Scalable Architecture for Multi-User Encrypted SQL Operations on Cloud Database Services. IEEE Trans. Cloud Comput. 2 (4) (2014)