Fabio Pierazzi

2025

1. IEEE SaTML

   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},
   }

2. 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

1. RAID

   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

   Bib PDF

   @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})},
   }

2. DLSP

   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

   Bib PDF Code

   @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},
   }

2023

1. AISec

   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

   Bib PDF Code

   @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},
   }

2. IEEE SaTML

   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

1. USENIX Sec

   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>}
   }

2020

1. IEEE S&P

   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},
   }

2019

1. USENIX Sec

   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},
   }