3 citations · 3 across the 6 of their papers we have counts for
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cs.CR2024★ 3 cited
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…
cs.LG2024
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…