Matteo Boffa
Scholar

Matteo Boffa

Google Scholar ID: MSDn4mwAAAAJ
PhD Student, Politecnico di Torino
Deep LearningNLPRepresentation Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
102
 
H-index
6
 
i10-index
4
 
Publications
12
 
Co-authors
0
 
Contact
Emailmatteo.boffa@polito.itLinkedInOpen ↗
Publications
5 items
Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
2026
Cited
0
Towards Agentic Honeynet Configuration
2026
Cited
0
Large-Scale Constraint Generation - Can LLMs Parse Hundreds of Constraints?
2025
Cited
0
CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics
2025
Cited
0
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
2025
Cited
0
Resume (English only)
Academic Achievements
  • Recent Publications:
  • - Language Models and Cybersecurity - Applications and Current Limits, 2025
  • - A Systematic Comparison of Large Language Models Performance for Intrusion Detection, 2024
  • - LogPrécis: Unleashing language models for automated malicious log analysis, 2024
  • - On using pretext tasks to learn representations from network logs, 2022
Research Experience
  • PhD Student at Politecnico di Torino (PoliTO), Italy, and member of the SmartData@Polito research center. His research focuses on applying machine and deep learning solutions to cybersecurity and networking.
Education
  • B.Sc. in Management Engineering, 2019, Politecnico di Torino; M.Sc. in ICT for Smart Societies, 2021, Politecnico di Torino.
Background
  • Research Interests: Machine Learning and Deep Learning. Professional Field: Cybersecurity and Networking.
Co-authors
0 total
Co-authors: 0 (list not available)