3 papers
cs.NI2026
The Frontier LLM Trap in Network Automation
Minhao Jin, Sean Wang, Aarti Gupta +1
Large LLMs are powerful tools for network automation, but they are expensive, slow to serve, hard to audit, poorly tailored to individual networks, and create long-term dependencie…
cs.NI2025
Making Logic a First-Class Citizen in Generative ML for Networking
Hongyu Hè, Minhao Jin, Maria Apostolaki
Generative ML models are increasingly popular in networking for tasks such as telemetry imputation, prediction, and synthetic trace generation. Despite their capabilities, they suf…
cs.CR2024
Robustifying ML-powered Network Classifiers with PANTS
Minhao Jin, Maria Apostolaki
Multiple network management tasks, from resource allocation to intrusion detection, rely on some form of ML-based network traffic classification (MNC). Despite their potential, MNC…