75 citations · 78 across the 4 of their papers we have counts for
4 papers
Intent Assurance using LLMs guided by Intent Drift
Kristina Dzeparoska, Ali Tizghadam, Alberto Leon-Garcia
Intent-Based Networking (IBN) presents a paradigm shift for network management, by promising to align intents and business objectives with network operations--in an automated manne…
LLM-based policy generation for intent-based management of applications
Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam +1
Automated management requires decomposing high-level user requests, such as intents, to an abstraction that the system can understand and execute. This is challenging because even…
Improving Knowledge Distillation with Teacher's Explanation
Sayantan Chowdhury, Ben Liang, Ali Tizghadam +1
Knowledge distillation (KD) improves the performance of a low-complexity student model with the help of a more powerful teacher. The teacher in KD is a black-box model, imparting k…
Generative Adversarial Classification Network with Application to Network Traffic Classification
Rozhina Ghanavi, Ben Liang, Ali Tizghadam
Large datasets in machine learning often contain missing data, which necessitates the imputation of missing data values. In this work, we are motivated by network traffic classific…