publications

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

2024

  1. 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
  2. Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, and Zhenkai Liang , Unraveling the Key of Machine Learning Solutions for Android Malware Detection , 2024
  3. 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

2023

  1. Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, and Wouter Joosen , Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses , 2023
  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
  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
  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
  5. 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
  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
  7. 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
  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

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
  2. 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
  3. 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

2021

  1. 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
  2. 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
  3. Raphael Labaca-Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, and Lorenzo Cavallaro , Realizable Universal Adversarial Perturbations for Malware , arXiv, 2021

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
  2. 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
  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

2019

  1. 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

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

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
  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
  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
  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

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

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

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
  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
  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
  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

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