3 citations · 3 across the 4 of their papers we have counts for
5 papers
Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
Jianan Huang, Rodolfo V. Valentim, Luca Vassio +4
The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root c…
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…
ARBITER: AI-Driven Filtering for Role-Based Access Control
Michele Lorenzo, Idilio Drago, Dario Salvadori +1
Role-Based Access Control (RBAC) struggles to adapt to dynamic enterprise environments with documents that contain information that cannot be disclosed to specific user groups. As…
AutoPenBench: Benchmarking Generative Agents for Penetration Testing
Luca Gioacchini, Marco Mellia, Idilio Drago +3
Generative AI agents, software systems powered by Large Language Models (LLMs), are emerging as a promising approach to automate cybersecurity tasks. Among the others, penetration…
Generic Multi-modal Representation Learning for Network Traffic Analysis
Luca Gioacchini, Idilio Drago, Marco Mellia +2
Network traffic analysis is fundamental for network management, troubleshooting, and security. Tasks such as traffic classification, anomaly detection, and novelty discovery are fu…