Search Results for author:
Found 5 papers, 2 papers with code
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks.
Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild
We fill these gaps providing a new large open benchmark dataset and aCTIon, a structured CTI information extraction tool.
syslrn: Learning What to Monitor for Efficient Anomaly Detection
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, and other approaches that look at the OS-level software state introduce high overheads.
Running Neural Networks on the NIC
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, with low overhead.
In-network Neural Networks
We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers.
