A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and Cost
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/jev-ids/jev-ids
Project page: https://cesnet.github.io/cesnet-datazoo/features
Terminology
Sources
- Language Models are Few-Shot Learners
- ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks