Fabio Pierazzi

Orcid: 0000-0002-1254-1758

Affiliations:

King's College London, UK
University of Modena and Reggio Emilia

According to our database¹, Fabio Pierazzi authored at least 43 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Pitfalls in Machine Learning for Computer Security.

[BibT_eX]

[DOI]

Christian Wressnegger

Lorenzo Cavallaro

Konrad Rieck

Commun. ACM, November, 2024

Demystifying Behavior-Based Malware Detection at Endpoints.

[BibT_eX]

[DOI]

CoRR, 2024

Unraveling the Key of Machine Learning Solutions for Android Malware Detection.

[BibT_eX]

[DOI]

CoRR, 2024

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2024

WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL.

[BibT_eX]

[DOI]

Proceedings of the IEEE Security and Privacy, 2024

How to Train your Antivirus: RL-based Hardening through the Problem Space.

[BibT_eX]

[DOI]

Proceedings of the 27th International Symposium on Research in Attacks, 2024

Characterizing Physical Adversarial Attacks on Robot Motion Planners.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems.

[BibT_eX]

[DOI]

Proceedings of the Sixth Workshop on CPS&IoT Security and Privacy, 2024

When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS.

[BibT_eX]

[DOI]

Giovanni Apruzzese

Aurore Fass

Fabio Pierazzi

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Are Machine Learning Models for Malware Detection Ready for Prime Time?

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2023

Lessons Learned on Machine Learning for Computer Security.

[BibT_eX]

[DOI]

Christian Wressnegger

Lorenzo Cavallaro

Konrad Rieck

IEEE Secur. Priv., 2023

Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2023

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Drift Forensics of Malware Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Dos and Don'ts of Machine Learning in Computer Security.

[BibT_eX]

[DOI]

Christian Wressnegger

Lorenzo Cavallaro

Konrad Rieck

Proceedings of the 31st USENIX Security Symposium, 2022

Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Exploring the security and privacy risks of chatbots in messaging services.

[BibT_eX]

[DOI]

Guillermo Suarez-Tangil

Jose M. Such

Proceedings of the 22nd ACM Internet Measurement Conference, 2022

WoRMA '22: 1st Workshop on Robust Malware Analysis.

[BibT_eX]

[DOI]

Fabio Pierazzi

Nedim Srndic

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Glyph: Efficient ML-Based Detection of Heap Spraying Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

$\sf {DBank}$DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Universal Adversarial Perturbations for Malware.

[BibT_eX]

[DOI]

Raphael Labaca Castro

CoRR, 2021

Investigating Labelless Drift Adaptation for Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

A Data-driven Characterization of Modern Android Spyware.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2020

Detection and Threat Prioritization of Pivoting Attacks in Large Networks.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2020

EC2: Ensemble Clustering and Classification for Predicting Android Malware Families.

[BibT_eX]

[DOI]

Tanmoy Chakraborty

Fabio Pierazzi

V. S. Subrahmanian

IEEE Trans. Dependable Secur. Comput., 2020

Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation.

[BibT_eX]

[DOI]

CoRR, 2020

Intriguing Properties of Adversarial ML Attacks in the Problem Space.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

2019

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time.

[BibT_eX]

[DOI]

Proceedings of the 28th USENIX Security Symposium, 2019

2018

Enabling Fair ML Evaluations for Security.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

A Probabilistic Logic of Cyber Deception.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2017

Scalable architecture for online prioritisation of cyber threats.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Cyber Conflict, 2017

2016

Exploratory security analytics for anomaly detection.

[BibT_eX]

[DOI]

Comput. Secur., 2016

Analysis of high volumes of network traffic for Advanced Persistent Threat detection.

[BibT_eX]

[DOI]

Comput. Networks, 2016

Countering Advanced Persistent Threats through security intelligence and big data analytics.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Cyber Conflict, 2016

2015

The Network Perspective of Cloud Security.

[BibT_eX]

[DOI]

Proceedings of the Fourth IEEE Symposium on Network Cloud Computing and Applications, 2015

2014

Scalable Architecture for Multi-User Encrypted SQL Operations on Cloud Database Services.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2014

Performance and Cost Evaluation of an Adaptive Encryption Architecture for Cloud Databases.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2014

Efficient detection of unauthorized data modification in cloud databases.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2014

Security and privacy of location-based services for in-vehicle device systems.

[BibT_eX]

[DOI]

Marcello Missiroli

Fabio Pierazzi

Michele Colajanni

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Fabio Pierazzi

Timeline

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