publications

2024

1. arXiv

   Jacopo Cortellazzi, Ilias Tsingenopoulos, 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 , 2024

   PDF
2. 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

   Bib PDF

   @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},
   }

3. arXiv

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

   Bib PDF

   @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},
   }

4. 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},
   }

5. DLSP (Ext. Abs.)

   Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , On Adaptive Decision-Based Attacks and Defenses , In Extended abstract at DLSP, 2024

   Bib

   @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},
     year = {2024},
   }

6. arXiv

   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

   Bib PDF

   @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

1. arXiv

   Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses , 2023

   Bib PDF

   @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},
   }

2. 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

   Bib

   @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}
   }

3. 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

   Bib

   @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},
   }

4. 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

   Bib PDF

   @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},
   }

5. 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},
   }

6. DLSP

   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

   Bib PDF

   @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},
   }

7. IEEE S&P

   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 Slides

   @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},
   }

8. IEEE SatML

   Giovanni Apruzzese, Hyrum S Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, and Kevin Roundy , Position: “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

   Bib PDF Website

   @inproceedings{apruzzese2023real,
     title = {Position: “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},
   }

2022

1. 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

   Bib PDF

   @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},
   }

2. 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 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 = {Distinguished Paper Award},
   }

3. IEEE S&P

   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

1. AISec

   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

   Bib PDF

   @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},
   }

2. AISec

   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

   Bib PDF Code

   @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},
   }

3. 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

1. 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

   Bib PDF

   @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},
   }

2. 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 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},
   }

3. 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

   Bib PDF Supp

   @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

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

   @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

1. 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

   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},
   }

2017

1. 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

   Bib PDF Supp

   @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},
   }

2. 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

   Bib PDF

   @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},
   }

3. 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

   Bib PDF Supp

   @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},
   }

4. 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

   Bib PDF

   @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

1. 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

   Bib PDF

   @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},
   }

2. 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

   Bib PDF

   @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},
   }

3. CoSe

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

   Bib PDF

   @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

1. 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

   Bib PDF

   @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

1. 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

   Bib PDF

   @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},
   }

2. 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

   Bib PDF

   @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},
   }

3. 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

   Bib PDF

   @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},
   }

4. 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

   Bib PDF

   @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

1. 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

   Bib PDF

   @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 = {Best Paper Award},
   }