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
@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},}
@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},}
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},}
Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , "Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses" , 2023
@misc{tsingenopoulos2023adversarial,title={Adversarial Markov Games: 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},year={2023},eprint={2312.13435},archiveprefix={arXiv},primaryclass={cs.AI},}
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
@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
@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
@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
@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},}
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},}
@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
@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},}
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
@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},}
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
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>},}