10 citations · 13 across the 5 of their papers we have counts for
5 papers
Demystifying Network Foundation Models
Sylee Beltiukov, Satyandra Guthula, Wenbo Guo +2
This work presents a systematic investigation into the latent knowledge encoded within Network Foundation Models (NFMs) that focuses on hidden representations analysis rather than…
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Murayyiam Parvez, Annus Zulfiqar, Roman Beltiukov +4
Machine learning (ML) is increasingly being deployed in programmable data planes (switches and SmartNICs) to enable real-time traffic analysis, security monitoring, and in-network…
Leveraging Large Language Models to Contextualize Network Measurements
Roman Beltiukov, Karthik Bhattaram, Evania Cheng +4
With the worldwide growth of remote communication and telepresence, network measurements form a cornerstone of effective performance assessment and diagnostics for Internet users.…
netFound: Principled Design for Network Foundation Models
Sylee Beltiukov, Satyandra Guthula, Haarika Manda +5
Network foundation models promise reusable representations for diverse traffic analysis tasks, but recent diagnostic works have revealed fundamental problems: models exploit datase…
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems
Roman Beltiukov, Wenbo Guo, Arpit Gupta +1
The remarkable success of the use of machine learning-based solutions for network security problems has been impeded by the developed ML models' inability to maintain efficacy when…