Data Representation nPrint Standardized network traffic representation for machine learning NetML Feature extraction for novelty detection in network traffic Synthetic Data Generation NetDiffusion Protocol-constrained network traffic generation using diffusion models NetSSM Multi-flow and state-aware network trace generation using state-space models Multimodal Inference AMIR Active Multimodal Interaction Recognition from video and network traffic CAIP Context-aware iterative prompting for detecting router misconfigurations with LLMs WISE What-If Scenario Evaluator for network deployment and configuration SwiftQueue Per-packet latency prediction for optimizing L4S queue selection Model Serving and Maintenance LEAF Navigating concept drift in cellular networks Traffic Refinery Cost-aware data representation for ML on network traffic CATO End-to-end optimization of ML traffic analysis pipelines Dynamic Model Execution JITI Adaptive ensemble classification for network traffic identification ServeFlow Fast-slow model architecture for network traffic analysis Cruise Control Dynamic model selection for ML-based network traffic analysis
