publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , " The Adaptive Arms Race: Redefining Robustness in AI Security" , In Proc. of the International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2025

@inproceedings{tsingenopoulos2025amg,
  title = { The Adaptive Arms Race: Redefining Robustness in AI Security},
  author = {Tsingenopoulos, Ilias and Rimmer, Vera and Preuveneers, Davy and Pierazzi, Fabio and Cavallaro, Lorenzo and Joosen, Wouter},
  year = {2025},
  booktitle = {Proc. of the International Symposium on Research in Attacks, Intrusions and Defenses ({RAID})},
}

Theo Chow, Mario D’Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, and Fabio Pierazzi , "Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift" , 2025

@misc{chow2025breaking,
  title = {Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift},
  author = {Chow, Theo and D'Onghia, Mario and Linhardt, Lorenz and Kan, Zeliang and Arp, Daniel and Cavallaro, Lorenzo and Pierazzi, Fabio},
  year = {2025},
  eprint = {2506.23814},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
}

Shae McFadden, Myles Foley, Mario D’Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, and Fabio Pierazzi , "DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift" , arXiv preprint arXiv:2508.18839, 2025

@article{mcfadden2025drmd,
  title = {DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift},
  author = {McFadden, Shae and Foley, Myles and D'Onghia, Mario and Hicks, Chris and Mavroudis, Vasilios and Paoletti, Nicola and Pierazzi, Fabio},
  journal = {arXiv preprint arXiv:2508.18839},
  year = {2025},
}

Xin Fan Guo, Albert Merono Penuela, Sergio Maffeis, and Fabio Pierazzi , "KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs" , 2025

@misc{guo2025knowml,
  title = {KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs},
  author = {Guo, Xin Fan and Penuela, Albert Merono and Maffeis, Sergio and Pierazzi, Fabio},
  year = {2025},
  eprint = {2506.19802},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
}

Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David Wagner, and Tudor Dumitras , "ML-Based Behavioral Malware Detection Is Far From a Solved Problem" , In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025

Bib PDF Website

@inproceedings{kaya2025satml,
  title = {ML-Based Behavioral Malware Detection Is Far From a Solved Problem},
  author = {Kaya, Yigitcan and Chen, Yizheng and Botacin, Marcus and Saha, Shoumik and Pierazzi, Fabio and Cavallaro, Lorenzo and Wagner, David and Dumitras, Tudor},
  booktitle = {{IEEE} Conference on Secure and Trustworthy Machine Learning ({SaTML})},
  year = {2025},
}

Alberto Battistello, Guido Bertoni, Michele Corrias, Lorenzo Nava, Davide Rusconi, Matteo Zoia, Fabio Pierazzi, and Andrea Lanzi , "Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks" , 2025

@misc{eccml,
  title = {Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks},
  author = {Battistello, Alberto and Bertoni, Guido and Corrias, Michele and Nava, Lorenzo and Rusconi, Davide and Zoia, Matteo and Pierazzi, Fabio and Lanzi, Andrea},
  year = {2025},
  eprint = {2412.17330},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
}

ACM TOPS

Jacopo Cortellazzi, Feargus Pendlebury, Daniel Arp, Erwin Quiring, Fabio Pierazzi, and Lorenzo Cavallaro , "Intriguing properties of adversarial ML attacks in the problem space [Extended Version]" , In ACM Transactions on Privacy and Security (TOPS), 2025

Bib Code Website

@inproceedings{cortellazzi2025intriguing,
  title = {Intriguing properties of adversarial ML attacks in the problem space [Extended Version]},
  author = {Cortellazzi, Jacopo and Pendlebury, Feargus and Arp, Daniel and Quiring, Erwin and Pierazzi, Fabio and Cavallaro, Lorenzo},
  booktitle = {{ACM} Transactions on Privacy and Security ({TOPS})},
  year = {2025},
  organization = {ACM},
}

2024

ARTMAN

Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi , "The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers" , In Proc. of the 2nd Workshop on Recent Advances in Resilient and Trustworthy MAchine learning-driveN systems (ARTMAN), 2024

@inproceedings{shae2024rpal,
  title = {The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers},
  author = {McFadden, Shae and Kan, Zeliang and Cavallaro, Lorenzo and Pierazzi, Fabio},
  year = {2024},
  booktitle = {Proc. of the 2nd Workshop on Recent Advances in Resilient and Trustworthy
  MAchine learning-driveN systems (ARTMAN)},
}

Giovanni Apruzzese, Aurore Fass, and Fabio Pierazzi , "When Adversarial Perturbations meet Concept Drift: an Exploratory Analysis on ML-NIDS" , In Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec), 2024
Open Problem Paper

@inproceedings{apruzzese2024aisec,
  title = {When Adversarial Perturbations meet Concept Drift: an Exploratory Analysis on ML-NIDS},
  author = {Apruzzese, Giovanni and Fass, Aurore and Pierazzi, Fabio},
  year = {2024},
  booktitle = {Proc. of the {ACM} Workshop on Artificial Intelligence and Security ({AISec})},
  note = {<br/><span class="badge badge-warning">Open Problem Paper</span>},
}

CPSIoTSec

Davide Rusconi, Matteo Zoia, Luca Buccioli, Fabio Pierazzi, Danilo Bruschi, Lorenzo Cavallaro, Flavio Toffalini, and Andrea Lanzi , "EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems" , In Proc. of the 6th Workshop on CPS and IoT Security (CPSIoTSec), 2024

@inproceedings{embedwatch2024,
  title = {EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems},
  author = {Rusconi, Davide and Zoia, Matteo and Buccioli, Luca and Pierazzi, Fabio and Bruschi, Danilo and Cavallaro, Lorenzo and Toffalini, Flavio and Lanzi, Andrea},
  year = {2024},
  booktitle = {Proc. of the 6th Workshop on CPS and IoT Security (CPSIoTSec)},
}

Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bošanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, and Lorenzo Cavallaro , "How to Train your Antivirus: RL-based Hardening through the Problem Space" , In Proc. of the International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2024

@inproceedings{ilias2024train,
  title = {How to Train your Antivirus: RL-based Hardening through the Problem Space},
  author = {Tsingenopoulos, Ilias and Cortellazzi, Jacopo and Bošanský, Branislav and Aonzo, Simone and Preuveneers, Davy and Joosen, Wouter and Pierazzi, Fabio and Cavallaro, Lorenzo},
  year = {2024},
  booktitle = {Proc. of the International Symposium on Research in Attacks, Intrusions and Defenses ({RAID})},
}

ICRA

Wenxi Wu, Fabio Pierazzi, Yali Du, and Martim Brandao , "Characterizing Physical Adversarial Attacks on Robot Motion Planners" , In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2024

@inproceedings{mcfadden2023rpal,
  title = {Characterizing Physical Adversarial Attacks on Robot Motion Planners},
  author = {Wu, Wenxi and Pierazzi, Fabio and Du, Yali and Brandao, Martim},
  booktitle = {Proc. of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
  year = {2024},
}

Hamid Bostani, Jacopo Cortellazzi, Daniel Arp, Fabio Pierazzi, Veelasha Moonsamy, and Lorenzo Cavallaro , "On the Effectiveness of Adversarial Training on Malware Classifiers" , 2024

@misc{bc2025advtr,
  title = {On the Effectiveness of Adversarial Training on Malware Classifiers},
  author = {Bostani, Hamid and Cortellazzi, Jacopo and Arp, Daniel and Pierazzi, Fabio and Moonsamy, Veelasha and Cavallaro, Lorenzo},
  year = {2024},
  eprint = {2412.18218},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
}

Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, and Zhenkai Liang , "Unraveling the Key of Machine Learning Solutions for Android Malware Detection" , 2024

@misc{liu2024unraveling,
  title = {Unraveling the Key of Machine Learning Solutions for Android Malware Detection},
  author = {Liu, Jiahao and Zeng, Jun and Pierazzi, Fabio and Cavallaro, Lorenzo and Liang, Zhenkai},
  year = {2024},
  eprint = {2402.02953},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
}

Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilis Mavroudis, and Fabio Pierazzi , "Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL" , In Proc. of the IEEE Workshop on Deep Learning Security and Privacy (DLSP), 2024

@inproceedings{mcfadden2024wendigo,
  title = {Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL},
  author = {McFadden, Shae and Maugeri, Marcello and Hicks, Chris and Mavroudis, Vasilis and Pierazzi, Fabio},
  booktitle = {Proc. of the {IEEE} Workshop on Deep Learning Security and Privacy ({DLSP})},
  year = {2024},
}

Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , "On Adaptive Decision-Based Attacks and Defenses" , In Proc. of the IEEE Workshop on Deep Learning Security and Privacy (DLSP), 2024
Extended Abstract

@inproceedings{ilias2024adaptive,
  title = {On Adaptive Decision-Based Attacks and Defenses},
  author = {Tsingenopoulos, Ilias and Rimmer, Vera and Preuveneers, Davy and Pierazzi, Fabio and Cavallaro, Lorenzo and Joosen, Wouter},
  booktitle = {Proc. of the {IEEE} Workshop on Deep Learning Security and Privacy ({DLSP})},
  year = {2024},
  note = {<br/><span class="badge badge-warning">Extended Abstract</span>}
}

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

@misc{kan2024tesseract,
  title = {TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)},
  author = {Kan, Zeliang and McFadden, Shae and Arp, Daniel and Pendlebury, Feargus and Jordaney, Roberto and Kinder, Johannes and Pierazzi, Fabio and Cavallaro, Lorenzo},
  year = {2024},
  eprint = {2402.01359},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
}

2023

IEEE S&P Mag

Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, and Fabio Pierazzi , "Are Machine Learning Models for Malware Detection Ready for Prime Time?" , IEEE Security & Privacy Magazine, 2023

@article{CavKinPen+23,
  author = {Cavallaro, Lorenzo and Kinder, Johannes and Pendlebury, Feargus and Pierazzi, Fabio},
  journal = {IEEE Security \&
                     Privacy Magazine},
  title = {Are Machine Learning Models for Malware Detection Ready for Prime Time?},
  year = {2023},
  volume = {21},
  number = {2},
  pages = {53-56},
  doi = {10.1109/MSEC.2023.3236543}
}

IEEE S&P Mag

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck , "Taking the Red Pill: Lessons Learned on Machine Learning for Computer Security" , IEEE Security & Privacy Magazine, 2023

@article{10242205,
  author = {Arp, Daniel and Quiring, Erwin and Pendlebury, Feargus and Warnecke, Alexander and Pierazzi, Fabio and Wressnegger, Christian and Cavallaro, Lorenzo and Rieck, Konrad},
  journal = {IEEE Security \&
                     Privacy Magazine},
  title = {Taking the Red Pill: Lessons Learned on Machine Learning for Computer Security},
  year = {2023},
  volume = {21},
  number = {5},
  pages = {72-77},
  keywords = {Privacy;Machine learning;Computer security;Artificial intelligence;Design for experiments},
  doi = {10.1109/MSEC.2023.3287207},
}

CCS Poster

Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi , "Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning" , In Proc. of ACM Conference on Computer and Communications Security (CCS), 2023
Poster Paper

@inproceedings{mcfadden2023rpam,
  title = {Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning},
  author = {McFadden, Shae and Kan, Zeliang and Cavallaro, Lorenzo and Pierazzi, Fabio},
  booktitle = {Proc. of {ACM} Conference on Computer and Communications Security ({CCS})},
  year = {2023},
  note = {<br/><span class="badge badge-warning">Poster Paper</span>}
}

Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, and Fabio Pierazzi , "Drift Forensics of Malware Classifiers" , In Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec), 2023

@inproceedings{chow2023driftforensics,
  title = {Drift Forensics of Malware Classifiers},
  author = {Chow, Theo and Kan, Zeliang and Linhardt, Lorenz and Cavallaro, Lorenzo and Arp, Daniel and Pierazzi, Fabio},
  booktitle = {Proc. of the {ACM} Workshop on Artificial Intelligence and Security ({AISec})},
  year = {2023},
}

Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, and Gang Wang , "Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors" , In IEEE Deep Learning Security and Privacy Workshop (DLSP), 2023

@inproceedings{chen2023overkill,
  title = {Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors},
  author = {Chen, Zhi and Zhang, Zhenning and Kan, Zeliang and Yang, Limin and Cortellazzi, Jacopo and Pendlebury, Feargus and Pierazzi, Fabio and Cavallaro, Lorenzo and Wang, Gang},
  booktitle = {{IEEE} Deep Learning Security and Privacy Workshop ({DLSP})},
  year = {2023},
}

Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, and Gang Wang , "Jigsaw Puzzle: Selective backdoor attack to subvert malware classifiers" , In IEEE Symposium on Security and Privacy (S&P), 2023

Bib PDF Supp Code Slides Website

@inproceedings{yang2023jigsaw,
  title = {{Jigsaw Puzzle}: Selective backdoor attack to subvert malware classifiers},
  author = {Yang, Limin and Chen, Zhi and Cortellazzi, Jacopo and Pendlebury, Feargus and Tu, Kevin and Pierazzi, Fabio and Cavallaro, Lorenzo and Wang, Gang},
  booktitle = {{IEEE} Symposium on Security and Privacy ({S\&P})},
  year = {2023},
}

Giovanni Apruzzese, Hyrum S Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, and Kevin Roundy , "“Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice" , In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
Position Paper

Bib PDF Website

@inproceedings{apruzzese2023real,
  title = {{“Real Attackers Don't Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice}},
  author = {Apruzzese, Giovanni and Anderson, Hyrum S and Dambra, Savino and Freeman, David and Pierazzi, Fabio and Roundy, Kevin},
  booktitle = {{IEEE} Conference on Secure and Trustworthy Machine Learning ({SaTML})},
  pages = {339--364},
  year = {2023},
  organization = {IEEE},
  note = {<br/><span class="badge badge-warning">Position Paper</span>}
}

2022

IMC (Short)

Jide Edu, Cliona Mulligan, Fabio Pierazzi, Jason Polakis, Guillermo Suarez-Tangil, and Jose Such , "Exploring the security and privacy risks of chatbots in messaging services" , In ACM Internet Measurement Conference (IMC) – Short Paper, 2022

@inproceedings{edu2022exploring,
  title = {Exploring the security and privacy risks of chatbots in messaging services},
  author = {Edu, Jide and Mulligan, Cliona and Pierazzi, Fabio and Polakis, Jason and Suarez-Tangil, Guillermo and Such, Jose},
  booktitle = {{ACM} Internet Measurement Conference ({IMC}) -- Short Paper},
  pages = {581--588},
  year = {2022},
}

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck , "Dos and don’ts of machine learning in computer security" , In Proc. of USENIX Security Symposium, 2022
Distinguished Paper Award

arXiv Bib PDF Website

@inproceedings{ArpQuiPen+22,
  title = {Dos and don'ts of machine learning in computer security},
  author = {Arp, Daniel and Quiring, Erwin and Pendlebury, Feargus and Warnecke, Alexander and Pierazzi, Fabio and Wressnegger, Christian and Cavallaro, Lorenzo and Rieck, Konrad},
  booktitle = {Proc. of {USENIX} Security Symposium},
  year = {2022},
  note = {<br/><span class="badge badge-primary">Distinguished Paper Award</span>}
}

Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro , "Transcending Transcend: Revisiting malware classification in the presence of concept drift" , In IEEE Symposium on Security and Privacy (S&P), 2022

arXiv Bib Errata Corrige Code Website

@inproceedings{barbero2022transcending,
  title = {Transcending Transcend: Revisiting malware classification in the presence of concept drift},
  author = {Barbero, Federico and Pendlebury, Feargus and Pierazzi, Fabio and Cavallaro, Lorenzo},
  booktitle = {{IEEE} Symposium on Security and Privacy ({S\&P})},
  pages = {805--823},
  year = {2022},
  organization = {IEEE},
}

2021

Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro , "Investigating labelless drift adaptation for malware detection" , In Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec), 2021

@inproceedings{kan2021investigating,
  title = {Investigating labelless drift adaptation for malware detection},
  author = {Kan, Zeliang and Pendlebury, Feargus and Pierazzi, Fabio and Cavallaro, Lorenzo},
  booktitle = {Proc. of the {ACM} Workshop on Artificial Intelligence and Security ({AISec})},
  pages = {123--134},
  year = {2021},
}

Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, and Lorenzo Cavallaro , "INSOMNIA: Towards concept-drift robustness in network intrusion detection" , In Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec), 2021

@inproceedings{andresini2021insomnia,
  title = {{INSOMNIA}: Towards concept-drift robustness in network intrusion detection},
  author = {Andresini, Giuseppina and Pendlebury, Feargus and Pierazzi, Fabio and Loglisci, Corrado and Appice, Annalisa and Cavallaro, Lorenzo},
  booktitle = {Proc. of the {ACM} Workshop on Artificial Intelligence and Security ({AISec})},
  pages = {111--122},
  year = {2021},
}

arXiv

Raphael Labaca-Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, and Lorenzo Cavallaro , "Realizable Universal Adversarial Perturbations for Malware" , arXiv, 2021
arXiv

2020

IEEE TIFS

Fabio Pierazzi, Stefano Cristalli, Danilo Bruschi, Michele Colajanni, Mirco Marchetti, and Andrea Lanzi , "Glyph: Efficient ML-based detection of heap spraying attacks" , IEEE Transactions on Information Forensics and Security (TIFS), 2020

@article{pierazzi2020glyph,
  title = {Glyph: Efficient ML-based detection of heap spraying attacks},
  author = {Pierazzi, Fabio and Cristalli, Stefano and Bruschi, Danilo and Colajanni, Michele and Marchetti, Mirco and Lanzi, Andrea},
  journal = {{IEEE} Transactions on Information Forensics and Security ({TIFS})},
  volume = {16},
  pages = {740--755},
  year = {2020},
  publisher = {IEEE},
}

Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, and Lorenzo Cavallaro , "Intriguing properties of adversarial ML attacks in the problem space" , In IEEE Symposium on Security and Privacy (S&P), 2020

Bib PDF Code Website

@inproceedings{pierazzi2020intriguing,
  title = {Intriguing properties of adversarial ML attacks in the problem space},
  author = {Pierazzi, Fabio and Pendlebury, Feargus and Cortellazzi, Jacopo and Cavallaro, Lorenzo},
  booktitle = {{IEEE} Symposium on Security and Privacy ({S\&P})},
  pages = {1332--1349},
  year = {2020},
  organization = {IEEE},
}

ACM TMIS

Fabio Pierazzi, Ghita Mezzour, Qian Han, Michele Colajanni, and VS Subrahmanian , "A data-driven characterization of modern Android spyware" , ACM Transactions on Management Information Systems (TMIS), 2020

@article{pierazzi2020data,
  title = {A data-driven characterization of modern Android spyware},
  author = {Pierazzi, Fabio and Mezzour, Ghita and Han, Qian and Colajanni, Michele and Subrahmanian, VS},
  journal = {ACM Transactions on Management Information Systems (TMIS)},
  volume = {11},
  number = {1},
  pages = {1--38},
  year = {2020},
}

2019

Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, and Lorenzo Cavallaro , "TESSERACT: Eliminating experimental bias in malware classification across space and time" , In Proc. of USENIX Security Symposium, 2019

Bib PDF Code Website

@inproceedings{pendlebury2019tesseract,
  title = {TESSERACT: Eliminating experimental bias in malware classification across space and time},
  author = {Pendlebury, Feargus and Pierazzi, Fabio and Jordaney, Roberto and Kinder, Johannes and Cavallaro, Lorenzo},
  booktitle = {Proc. of {USENIX} Security Symposium},
  year = {2019},
}

IEEE TDSC

Chongyang Bai, Qian Han, Ghita Mezzour, Fabio Pierazzi, and VS Subrahmanian , "DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans" , IEEE Transactions on Dependable and Secure Computing (TDSC), 2019

@article{bai2019sf,
  title = {DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans},
  author = {Bai, Chongyang and Han, Qian and Mezzour, Ghita and Pierazzi, Fabio and Subrahmanian, VS},
  journal = {{IEEE} Transactions on Dependable and Secure Computing ({TDSC})},
  year = {2019},
  publisher = {IEEE},
}

2018

CCS-Poster

Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, and Lorenzo Cavallaro , "Poster: Enabling Fair ML Evaluations for Security" , In Proc. of ACM Conference on Computer and Communications Security (CCS), 2018
Poster Paper

Bib PDF Supp Code

  title = {Poster: Enabling Fair ML Evaluations for Security},
  author = {Pendlebury, Feargus and Pierazzi, Fabio and Jordaney, Roberto and Kinder, Johannes and Cavallaro, Lorenzo},
  booktitle = {Proc. of {ACM} Conference on Computer and Communications Security ({CCS})},
  year = {2018},
  note = {<br/><span class="badge badge-warning">Poster Paper</span>}
}

2017

IEEE TDSC

Tanmoy Chakraborty, Fabio Pierazzi, and VS Subrahmanian , "EC2: Ensemble clustering and classification for predicting android malware families" , IEEE Transactions on Dependable and Secure Computing (TDSC), 2017

@article{chakraborty2017ec2,
  title = {{EC2}: Ensemble clustering and classification for predicting android malware families},
  author = {Chakraborty, Tanmoy and Pierazzi, Fabio and Subrahmanian, VS},
  journal = {{IEEE} Transactions on Dependable and Secure Computing ({TDSC})},
  volume = {17},
  number = {2},
  pages = {262--277},
  year = {2017},
  publisher = {IEEE},
}

IEEE CyCon

Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, and Mirco Marchetti , "Scalable architecture for online prioritisation of cyber threats" , In The 9th International Conference on Cyber Conflict (CyCon), 2017

@inproceedings{pierazzi2017scalable,
  title = {Scalable architecture for online prioritisation of cyber threats},
  author = {Pierazzi, Fabio and Apruzzese, Giovanni and Colajanni, Michele and Guido, Alessandro and Marchetti, Mirco},
  booktitle = {The 9th International Conference on Cyber Conflict (CyCon)},
  pages = {1--18},
  year = {2017},
  organization = {IEEE},
}

IEEE TETC

Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti , "Detection and threat prioritization of pivoting attacks in large networks" , IEEE Transactions on Emerging Topics in Computing (TETC), 2017

@article{apruzzese2017detection,
  title = {Detection and threat prioritization of pivoting attacks in large networks},
  author = {Apruzzese, Giovanni and Pierazzi, Fabio and Colajanni, Michele and Marchetti, Mirco},
  journal = {IEEE Transactions on Emerging Topics in Computing (TETC)},
  volume = {8},
  number = {2},
  pages = {404--415},
  year = {2017},
  publisher = {IEEE},
}

IEEE TIFS

Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I Simari, and VS Subrahmanian , "A probabilistic logic of cyber deception" , IEEE Transactions on Information Forensics and Security (TIFS), 2017

@article{jajodia2017probabilistic,
  title = {A probabilistic logic of cyber deception},
  author = {Jajodia, Sushil and Park, Noseong and Pierazzi, Fabio and Pugliese, Andrea and Serra, Edoardo and Simari, Gerardo I and Subrahmanian, VS},
  journal = {{IEEE} Transactions on Information Forensics and Security ({TIFS})},
  volume = {12},
  number = {11},
  pages = {2532--2544},
  year = {2017},
  publisher = {IEEE},
}

2016

IEEE CyCon

Mirco Marchetti, Fabio Pierazzi, Alessandro Guido, and Michele Colajanni , "Countering Advanced Persistent Threats through security intelligence and big data analytics" , In The 8th International Conference on Cyber Conflict (CyCon), 2016

@inproceedings{marchetti2016countering,
  title = {Countering Advanced Persistent Threats through security intelligence and big data analytics},
  author = {Marchetti, Mirco and Pierazzi, Fabio and Guido, Alessandro and Colajanni, Michele},
  booktitle = {The 8th International Conference on Cyber Conflict (CyCon)},
  pages = {243--261},
  year = {2016},
  organization = {IEEE},
}

ComNet

Mirco Marchetti, Fabio Pierazzi, Michele Colajanni, and Alessandro Guido , "Analysis of high volumes of network traffic for advanced persistent threat detection" , Elsevier Computer Networks, 2016

@article{marchetti2016analysis,
  title = {Analysis of high volumes of network traffic for advanced persistent threat detection},
  author = {Marchetti, Mirco and Pierazzi, Fabio and Colajanni, Michele and Guido, Alessandro},
  journal = {Elsevier Computer Networks},
  volume = {109},
  pages = {127--141},
  year = {2016},
  publisher = {Elsevier},
}

CoSe

Fabio Pierazzi, Sara Casolari, Michele Colajanni, and Mirco Marchetti , "Exploratory security analytics for anomaly detection" , Elsevier Computers & Security, 2016

@article{pierazzi2016exploratory,
  title = {Exploratory security analytics for anomaly detection},
  author = {Pierazzi, Fabio and Casolari, Sara and Colajanni, Michele and Marchetti, Mirco},
  journal = {Elsevier Computers \& Security},
  volume = {56},
  pages = {28--49},
  year = {2016},
  publisher = {Elsevier},
}

2015

IEEE NCCA

Fabio Pierazzi, Andrea Balboni, Alessandro Guido, and Mirco Marchetti , "The network perspective of cloud security" , In IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA), 2015

@inproceedings{pierazzi2015network,
  title = {The network perspective of cloud security},
  author = {Pierazzi, Fabio and Balboni, Andrea and Guido, Alessandro and Marchetti, Mirco},
  booktitle = {IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA)},
  pages = {75--82},
  year = {2015},
  organization = {IEEE},
}

2014

IEEE ISCC

Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, and Marcello Missiroli , "Efficient detection of unauthorized data modification in cloud databases" , In IEEE Symposium on Computers and Communications (ISCC), 2014

@inproceedings{ferretti2014efficient,
  title = {Efficient detection of unauthorized data modification in cloud databases},
  author = {Ferretti, Luca and Pierazzi, Fabio and Colajanni, Michele and Marchetti, Mirco and Missiroli, Marcello},
  booktitle = {IEEE Symposium on Computers and Communications (ISCC)},
  year = {2014},
  organization = {IEEE},
}

LSAUC-HPCS

Marcello Missiroli, Fabio Pierazzi, and Michele Colajanni , "Security and privacy of location-based services for in-vehicle device systems" , In LSAUC Workshop, International Conference on High Performance Computing & Simulation (HPCS), 2014

@inproceedings{missiroli2014security,
  title = {Security and privacy of location-based services for in-vehicle device systems},
  author = {Missiroli, Marcello and Pierazzi, Fabio and Colajanni, Michele},
  booktitle = {LSAUC Workshop, International Conference on High Performance Computing \& Simulation (HPCS)},
  year = {2014},
  organization = {IEEE},
}

IEEE TCC

Luca Ferretti, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti , "Scalable architecture for multi-user encrypted SQL operations on cloud database services" , IEEE Transactions on Cloud Computing (TCC), 2014

@article{ferretti2014scalable,
  title = {Scalable architecture for multi-user encrypted SQL operations on cloud database services},
  author = {Ferretti, Luca and Pierazzi, Fabio and Colajanni, Michele and Marchetti, Mirco},
  journal = {{IEEE} Transactions on Cloud Computing ({TCC})},
  volume = {2},
  number = {4},
  pages = {448--458},
  year = {2014},
  publisher = {IEEE},
}

IEEE TCC

Luca Ferretti, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti , "Performance and cost evaluation of an adaptive encryption architecture for cloud databases" , IEEE Transactions on Cloud Computing (TCC), 2014

@article{ferretti2014performance,
  title = {Performance and cost evaluation of an adaptive encryption architecture for cloud databases},
  author = {Ferretti, Luca and Pierazzi, Fabio and Colajanni, Michele and Marchetti, Mirco},
  journal = {{IEEE} Transactions on Cloud Computing ({TCC})},
  pages = {143--155},
  year = {2014},
  publisher = {IEEE},
}

2013

SECURWARE

Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, and others , "Security and confidentiality solutions for public cloud database services" , In The Seventh International Conference on Emerging Security Information, Systems and Technologies, 2013
Best Paper Award

@inproceedings{ferretti2013security,
  title = {Security and confidentiality solutions for public cloud database services},
  author = {Ferretti, Luca and Pierazzi, Fabio and Colajanni, Michele and Marchetti, Mirco and others},
  booktitle = {The Seventh International Conference on Emerging Security Information, Systems and Technologies},
  pages = {36--42},
  year = {2013},
  note = {<br/><span class="badge badge-primary">Best Paper Award</span>},
}