3 citations · 8 across the 5 of their papers we have counts for
5 papers
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…
Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes
Kai Huang, Luca Gioacchini, Marco Mellia +1
In the context of cybersecurity, tracking the activities of coordinated hosts over time is a daunting task because both participants and their behaviours evolve at a fast pace. We…
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito +4
The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks. As with any research pursuit, benchmar…
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
Giordano Paoletti, Luca Gioacchini, Marco Mellia +2
In dynamic complex networks, entities interact and form network communities that evolve over time. Among the many static Community Detection (CD) solutions, the modularity-based Lo…