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ORCIDFabio Pierazzi
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- affiliation: King's College London, UK
- affiliation: University of Modena and Reggio Emilia
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2020 – today
- 2024
[j13]Daniel Arp
, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck:
Pitfalls in Machine Learning for Computer Security. Commun. ACM 67(11): 104-112 (2024)- [c22]Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brandão:
Characterizing Physical Adversarial Attacks on Robot Motion Planners. ICRA 2024: 14319-14325 - [c21]Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro:
How to Train your Antivirus: RL-based Hardening through the Problem Space. RAID 2024: 130-146 - [c20]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: 68-75 - [i12]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 abs/2402.01359 (2024) - [i11]Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang:
Unraveling the Key of Machine Learning Solutions for Android Malware Detection. CoRR abs/2402.02953 (2024) - [i10]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 abs/2402.19027 (2024) - [i9]Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras:
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR abs/2405.06124 (2024) - 2023
- [j12]Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi:
Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. 21(2): 53-56 (2023) - [j11]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): 72-77 (2023) - [c19]Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi:
Drift Forensics of Malware Classifiers. AISec@CCS 2023: 197-207 - [c18]Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi:
Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. CCS 2023: 3561-3563 - [c17]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: 339-364 - [c16]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: 21-28 - [c15]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: 719-736 - [i8]Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen:
Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR abs/2312.13435 (2023) - 2022
- [c14]Fabio Pierazzi, Nedim Srndic:
WoRMA '22: 1st Workshop on Robust Malware Analysis. AsiaCCS 2022: 1271-1272 - [c13]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: 581-588 - [c12]Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro:
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. SP 2022: 805-823 - [c11]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: 3971-3988 - [e1]Fabio Pierazzi, Nedim Srndic:
WoRMA@AsiaCCS 2022: Proceedings of the 1st Workshop on Robust Malware Analysis, Nagasaki, Japan, 30 May 2022. ACM 2022, ISBN 978-1-4503-9179-5 [contents] - [i7]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 abs/2202.05470 (2022) - [i6]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 abs/2212.14315 (2022) - 2021
- [j10]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): 1378-1393 (2021) - [j9]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: 740-755 (2021) - [c10]Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS 2021: 111-122 - [c9]Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro:
Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS 2021: 123-134 - [i5]Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro:
Universal Adversarial Perturbations for Malware. CoRR abs/2102.06747 (2021) - 2020
- [j8]Tanmoy Chakraborty, Fabio Pierazzi, V. S. Subrahmanian:
EC2: Ensemble Clustering and Classification for Predicting Android Malware Families. IEEE Trans. Dependable Secur. Comput. 17(2): 262-277 (2020) - [j7]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): 404-415 (2020) - [j6]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): 4:1-4:38 (2020) - [c8]Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. SP 2020: 1332-1349 - [i4]Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro:
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR abs/2010.03856 (2020) - [i3]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 abs/2010.09470 (2020)
2010 – 2019
- 2019
- [c7]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: 729-746 - [i2]Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR abs/1911.02142 (2019) - 2018
- [c6]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
Enabling Fair ML Evaluations for Security. CCS 2018: 2264-2266 - [i1]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR abs/1807.07838 (2018) - 2017
- [j5]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): 2532-2544 (2017) - [c5]Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti:
Scalable architecture for online prioritisation of cyber threats. CyCon 2017: 1-18 - 2016
- [j4]Mirco Marchetti, Fabio Pierazzi, Michele Colajanni, Alessandro Guido:
Analysis of high volumes of network traffic for Advanced Persistent Threat detection. Comput. Networks 109: 127-141 (2016) - [j3]Fabio Pierazzi, Sara Casolari, Michele Colajanni, Mirco Marchetti:
Exploratory security analytics for anomaly detection. Comput. Secur. 56: 28-49 (2016) - [c4]Mirco Marchetti, Fabio Pierazzi, Alessandro Guido, Michele Colajanni:
Countering Advanced Persistent Threats through security intelligence and big data analytics. CyCon 2016: 243-261 - 2015
- [c3]Fabio Pierazzi, Andrea Balboni, Alessandro Guido, Mirco Marchetti:
The Network Perspective of Cloud Security. NCCA 2015: 75-82 - 2014
- [j2]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): 143-155 (2014) - [j1]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): 448-458 (2014) - [c2]Marcello Missiroli, Fabio Pierazzi, Michele Colajanni:
Security and privacy of location-based services for in-vehicle device systems. HPCS 2014: 841-848 - [c1]Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, Marcello Missiroli:
Efficient detection of unauthorized data modification in cloud databases. ISCC 2014: 1-6
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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