33 citations · 33 across the 4 of their papers we have counts for
5 papers
Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs
Giovanni Dettori, Matteo Boffa, Danilo Giordano +2
Input length and the position of relevant information are widely cited as the primary causes of degraded LLM long-context performance. Here, we study lexical density -- the rate at…
Towards Agentic Honeynet Configuration
Federico Mirra, Matteo Boffa, Idilio Drago +2
Honeypots are deception systems that emulate vulnerable services to collect threat intelligence. While deploying many honeypots increases the opportunity to observe attacker behavi…
Analyzing BEV Suitability and Charging Strategies Using Italian Driving Data
Homa Jamalof, Luca Vassio, Danilo Giordano +2
Battery Electric Vehicles (BEVs) are rapidly evolving from a niche alternative to an established option for private transportation, often replacing Internal Combustion Engine (ICE)…
CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics
Stefano Fumero, Kai Huang, Matteo Boffa +3
Post-mortem analysis of compromised systems is a key aspect of cyber forensics, today a mostly manual, slow, and error-prone task. Agentic AI, i.e., LLM-powered agents, is a promis…
LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis
Matteo Boffa, Rodolfo Vieira Valentim, Luca Vassio +4
The collection of security-related logs holds the key to understanding attack behaviors and diagnosing vulnerabilities. Still, their analysis remains a daunting challenge. Recently…