34 citations · 143 across the 18 of their papers we have counts for
19 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…
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Federico Errica, Giuseppe Siracusano, Davide Sanvito +1
Large Language Models (LLMs) changed the way we design and interact with software systems. Their ability to process and extract information from text has drastically improved produ…
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…
syslrn: Learning What to Monitor for Efficient Anomaly Detection
Davide Sanvito, Giuseppe Siracusano, Sharan Santhanam +2
While monitoring system behavior to detect anomalies and failures is important, existing methods based on log-analysis can only be as good as the information contained in the logs,…
hXDP: Efficient Software Packet Processing on FPGA NICs
Marco Spaziani Brunella, Giacomo Belocchi, Marco Bonola +7
FPGA accelerators on the NIC enable the offloading of expensive packet processing tasks from the CPU. However, FPGAs have limited resources that may need to be shared among diverse…
Running Neural Networks on the NIC
Giuseppe Siracusano, Salvator Galea, Davide Sanvito +4
In this paper we show that the data plane of commodity programmable (Network Interface Cards) NICs can run neural network inference tasks required by packet monitoring applications…