37 citations · 95 across the 11 of their papers we have counts for
12 papers
Clean Up the Mess: Addressing Data Pollution in Cryptocurrency Abuse Reporting Services
Gibran Gomez, Kevin van Liebergen, Davide Sanvito +3
Cryptocurrency abuse reporting services are a valuable data source about abusive blockchain addresses, prevalent types of cryptocurrency abuse, and their financial impact on victim…
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…
Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild
Giuseppe Siracusano, Davide Sanvito, Roberto Gonzalez +6
Cyber Threat Intelligence (CTI) plays a crucial role in assessing risks and enhancing security for organizations. However, the process of extracting relevant information from unstr…
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,…
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…