@inproceedings{chow2025breaking,title={{Beyond the TESSERACT: Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers}},author={Chow, Theo and D'Onghia, Mario and Linhardt, Lorenz and Kan, Zeliang and Arp, Daniel and Cavallaro, Lorenzo and Pierazzi, Fabio},year={2026},url={https://arxiv.org/abs/2506.23814},booktitle={{IEEE} Conference on Secure and Trustworthy Machine Learning ({SaTML})},}
AAAI
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
Shae McFadden, Myles Foley, Mario D’Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, and Fabio Pierazzi
In Proc. 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), 2026
@inproceedings{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},booktitle={Proc. 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)},year={2026},}
USENIX Sec
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, and Fabio Pierazzi
@inproceedings{mcfadden2026sok,title={SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity},author={McFadden, Shae and Foley, Myles and Bates, Elizabeth and Tsingenopoulos, Ilias and Vyas, Sanyam and Mavroudis, Vasilios and Hicks, Chris and Pierazzi, Fabio},booktitle={Proc. of {USENIX} Security Symposium},year={2026},}
arXiv
REPLICANT: Learning Policies for Evading and Hardening Malware Detectors
Shae McFadden, Ilias Tsingenopoulos, Mario D’Onghia, Alexander Herzog, Myles Foley, Chris Hicks, Lorenzo Cavallaro, and Fabio Pierazzi
@misc{mcfadden2026replicant,title={{REPLICANT: Learning Policies for Evading and Hardening Malware Detectors}},author={McFadden, Shae and Tsingenopoulos, Ilias and D'Onghia, Mario and Herzog, Alexander and Foley, Myles and Hicks, Chris and Cavallaro, Lorenzo and Pierazzi, Fabio},year={2026},archiveprefix={arXiv},primaryclass={cs.LG},}
IEEE EuroS&P
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
Xin Fan Guo, Xinran Zheng, Albert Merono Penuela, Lorenzo Cavallaro, Sergio Maffeis, and Fabio Pierazzi
In Proc. 11th IEEE European Symposium on Security and Privacy (EuroS&P), 2026
@inproceedings{guo2026knowml,title={KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs},author={Guo, Xin Fan and and Xinran Zheng and Penuela, Albert Merono and Cavallaro, Lorenzo and Maffeis, Sergio and Pierazzi, Fabio},year={2026},booktitle={Proc. 11th IEEE European Symposium on Security and Privacy (EuroS\&P)},}
ACM ToSEM
Unraveling the Key of Machine Learning-based Android Malware Detection
Jiahao Liu, Jun Zeng, Fabio Pierazzi, Ziqi Yang, Lorenzo Cavallaro, and Zhenkai Liang
ACM Transactions on Software Engineering and Methodology (ToSEM), 2026
@article{liu2024unraveling,title={Unraveling the Key of Machine Learning-based Android Malware Detection},author={Liu, Jiahao and Zeng, Jun and Pierazzi, Fabio and Yang, Ziqi and Cavallaro, Lorenzo and Liang, Zhenkai},year={2026},journal={ACM Transactions on Software Engineering and Methodology (ToSEM)},}
2025
RAID
The Adaptive Arms Race: Redefining Robustness in AI Security
Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen
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})},}
IEEE SaTML
ML-Based Behavioral Malware Detection Is Far From a Solved Problem
Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David Wagner, and Tudor Dumitras
In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025
@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},}
arXiv
Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
Alberto Battistello, Guido Bertoni, Michele Corrias, Lorenzo Nava, Davide Rusconi, Matteo Zoia, Fabio Pierazzi, and Andrea Lanzi
@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},archiveprefix={arXiv},primaryclass={cs.CR},}
ACM TOPS
Intriguing properties of adversarial ML attacks in the problem space [Extended Version]
Jacopo Cortellazzi, Feargus Pendlebury, Daniel Arp, Erwin Quiring, Fabio Pierazzi, and Lorenzo Cavallaro
In ACM Transactions on Privacy and Security (TOPS), 2025
@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
The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers
Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi
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)},}
AISec
When Adversarial Perturbations meet Concept Drift: an Exploratory Analysis on ML-NIDS
Giovanni Apruzzese, Aurore Fass, and Fabio Pierazzi
In Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec), 2024
@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
EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems
Davide Rusconi, Matteo Zoia, Luca Buccioli, Fabio Pierazzi, Danilo Bruschi, Lorenzo Cavallaro, Flavio Toffalini, and Andrea Lanzi
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)},}
RAID
How to Train your Antivirus: RL-based Hardening through the Problem Space
Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bošanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, and Lorenzo Cavallaro
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
Characterizing Physical Adversarial Attacks on Robot Motion Planners
Wenxi Wu, Fabio Pierazzi, Yali Du, and Martim Brandao
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},}
arXiv
On the Effectiveness of Adversarial Training on Malware Classifiers
Hamid Bostani, Jacopo Cortellazzi, Daniel Arp, Fabio Pierazzi, Veelasha Moonsamy, and Lorenzo Cavallaro
@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},archiveprefix={arXiv},primaryclass={cs.CR},}
DLSP
Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilis Mavroudis, and Fabio Pierazzi
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},}
DLSP
On Adaptive Decision-Based Attacks and Defenses
Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen
In Proc. of the IEEE Workshop on Deep Learning Security and Privacy (DLSP), 2024
@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>}}
arXiv
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, and Lorenzo Cavallaro
@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},archiveprefix={arXiv},primaryclass={cs.LG},}
2023
IEEE S&P Mag
Are Machine Learning Models for Malware Detection Ready for Prime Time?
Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, and Fabio Pierazzi
@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
Taking the Red Pill: Lessons Learned on Machine Learning for Computer Security
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck
@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
Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning
Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, and Fabio Pierazzi
In Proc. of ACM Conference on Computer and Communications Security (CCS), 2023
@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>}}
AISec
Drift Forensics of Malware Classifiers
Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, and Fabio Pierazzi
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},}
DLSP
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors
Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, and Gang Wang
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},}
IEEE S&P
Jigsaw Puzzle: Selective backdoor attack to subvert malware classifiers
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, and Gang Wang
In IEEE Symposium on Security and Privacy (S&P), 2023
@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},}
IEEE SaTML
“Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese, Hyrum S Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, and Kevin Roundy
In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
@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)
Exploring the security and privacy risks of chatbots in messaging services
Jide Edu, Cliona Mulligan, Fabio Pierazzi, Jason Polakis, Guillermo Suarez-Tangil, and Jose Such
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},}
USENIX Sec
Dos and don’ts of machine learning in computer security
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck
@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>}}
IEEE S&P
Transcending Transcend: Revisiting malware classification in the presence of concept drift
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro
In IEEE Symposium on Security and Privacy (S&P), 2022
@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},errata={transcending-errata_corrige.pdf},}
2021
AISec
Investigating labelless drift adaptation for malware detection
Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro
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},}
AISec
INSOMNIA: Towards concept-drift robustness in network intrusion detection
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, and Lorenzo Cavallaro
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
Realizable Universal Adversarial Perturbations for Malware
Raphael Labaca-Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, and Lorenzo Cavallaro
@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},}
IEEE S&P
Intriguing properties of adversarial ML attacks in the problem space
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, and Lorenzo Cavallaro
In IEEE Symposium on Security and Privacy (S&P), 2020
@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
A data-driven characterization of modern Android spyware
Fabio Pierazzi, Ghita Mezzour, Qian Han, Michele Colajanni, and VS Subrahmanian
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
USENIX Sec
TESSERACT: Eliminating experimental bias in malware classification across space and time
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, and Lorenzo Cavallaro
@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
DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans
Chongyang Bai, Qian Han, Ghita Mezzour, Fabio Pierazzi, and VS Subrahmanian
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
Poster: Enabling Fair ML Evaluations for Security
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, and Lorenzo Cavallaro
In Proc. of ACM Conference on Computer and Communications Security (CCS), 2018
@inproceedings{pendlebury2018poster,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
EC2: Ensemble clustering and classification for predicting android malware families
Tanmoy Chakraborty, Fabio Pierazzi, and VS Subrahmanian
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
Scalable architecture for online prioritisation of cyber threats
Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, and Mirco Marchetti
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
Detection and threat prioritization of pivoting attacks in large networks
Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti
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
A probabilistic logic of cyber deception
Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I Simari, and VS Subrahmanian
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
Countering Advanced Persistent Threats through security intelligence and big data analytics
Mirco Marchetti, Fabio Pierazzi, Alessandro Guido, and Michele Colajanni
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
Analysis of high volumes of network traffic for advanced persistent threat detection
Mirco Marchetti, Fabio Pierazzi, Michele Colajanni, and Alessandro Guido
@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
Exploratory security analytics for anomaly detection
Fabio Pierazzi, Sara Casolari, Michele Colajanni, and Mirco Marchetti
@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
The network perspective of cloud security
Fabio Pierazzi, Andrea Balboni, Alessandro Guido, and Mirco Marchetti
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
Efficient detection of unauthorized data modification in cloud databases
@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
Security and privacy of location-based services for in-vehicle device systems
Marcello Missiroli, Fabio Pierazzi, and Michele Colajanni
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
Scalable architecture for multi-user encrypted SQL operations on cloud database services
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti
@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
Performance and cost evaluation of an adaptive encryption architecture for cloud databases
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti
@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
Security and confidentiality solutions for public cloud database services
Luca Ferretti, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti, and others
In The Seventh International Conference on Emerging Security Information, Systems and Technologies, 2013
@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>},}