Ph.D. in Information Technologies and Electrical Engineering (ITEE) and member of Dependable and Secure Software Engineering and Real-Time Systems (DESSERT) group at the University of Naples Federico II.
My research activity focuses on the Security and Robustness of AI code generators, and application of LLM in offensive security.
My research interests also include fault-injection testing, failure mode analysis and runtime failure detection in cloud computing infrastructures.
Editor for the journal special issue on Reliable and Secure AI-based Code Generators , Automated Software Engineering journal.
Session Chair for the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023).
Publication Chair for the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023).
Publicity Co-Chairs for the 15th International Workshop On Software Aging And Rejuvenation, co-located with ISSRE 2023.
Session Chair at The 11th IEEE International Workshop on Software Certification,
Co-located with The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021).
Artifact Evaluation Committee Member of the 18th European Systems Conference.
Generative AI in Cybersecurity: Generating Offensive Code from Natural Language
Valance, France
DDOSHIELD-IoT: A Testbed for Simulating and Lightweight Detection of IoT Botnet DDoS Attacks
Research Paper Presentation at The 3rd International Workshop on Dependable Computing for Complex Systems, co-located with DSN 2024.
Brisbane, Australia
Simulation Environment for the Evaluation of Lightweight Intrusion Detection Systems
Research Paper Presentation at The 1st IEEE International Workshop on Reliable and Secure AI for Software Engineering, co-located with ISSRE 2023.
Florence, Italy
AI Code Generators for Security: Friend or Foe?
Research Paper Presentation at The Italian Conference on CyberSecurity (ITASEC).
Bari, Italy
L’AI Generativa e il futuro della scrittura di codice
Speaker of the seminar organized by CRIT SRL.
Virtual
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning
Journal Paper Presentation at The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021).
Virtual
EVIL: Exploiting Software via Natural Language
Research Paper Presentation at The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021).
Virtual
Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures
Research Paper Presentation at International Workshop on Artificial Intelligence for IT Operations (AIOPS 2020)
Virtual
How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform
Invited speaker, hosted by Dr. Haryadi Gunawi, for the talk
University of Chicago, Chicago, USA
Analyzing Fault Injection Data with Machine Learning, Student Forum Presentation at the 15th European Dependable Computing Conference
Naples, Italy
How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform, Research Paper Presentation at ESEC/FSE 2019.
Tallin, Estonia
OpenStack Fault-Injection Tool, Artifact at ESEC/FSE 2019 awarded with Available and Reusable badges.
URL: https://github.com/dessertlab/OpenStack-Fault-Injection-Environment
Invited Research Scholar at the University of North Carolina at Charlotte (UNCC) under the supervision of Dr. Bojan Cukic.
University of North Carolina at Charlotte, NC, USA
Department of Electrical Engineering and Information Technology
University of Naples Federico II, Naples, Italy.
Ph.D. Thesis Title: Fault Injection For Cloud Computing Systems: From Failure Mode Analysis To Run-Time Failure Detection
Master of Engineering cum laude in Computer Engineering.
University of Naples Federico II, Naples, Italy.
Master Thesis Title: An Approach to Failure Mode Analysis of Cloud Computing Infrastructures
Bachelor of Engineering in Computer Engineering.
University of Naples Federico II, Naples, Italy.
Bachelor Thesis Title: Development of an Installation Package of the EFIT++ Code on Linux Distributions