NetConfEval: Can LLMs Facilitate Network Configuration?

Abstract This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices & development of routing algorithms and minimizing errors. We design a set of...

Marco Chiesa

I am an Associate Professor in the Network System Lab group of the Software and Computer Systems division at the KTH Royal Institute of Technology, Sweden. My research interests lie in computer networking and, more specifically, in aspects of Internet protocols and...

SEMLA: Securing Enterprises via Machine-Learning-based Automation

The SEMLA project seeks to make the development of software systems more resilient, secure, and cost-effective. SEMLA leverages recent advancements in machine learning (ML) and artificial intelligence (AI) to automate critical yet common & time-consuming tasks in...