(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

Clipora is a powerful toolkit for fine-tuning OpenCLIP models using Low Rank Adapters (LoRA).

LAVIS - A One-stop Library for Language-Vision Intelligence

nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques

Efficient Network Traffic Classification via Pre-training Unidirectional Mamba

Fine-tuning of Flan-5T LLM for text classification 🤖 focuses on adapting a state-of-the-art language model to enhance its ability to classify text data.

A simple way to calibrate your neural network.

CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file

flowRecorder - a network traffic flow feature measurement tool

This approach of Intrusion Detection uses two GPT models, which are trained on normal network traffic, to predict sequences of communication patterns and thereby score network packets.

Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"

Real-Time Network Traffic Volume Prediction using time series and recurrent neural network

The repository of TrafficLLM, a universal LLM adaptation framework to learn robust traffic representation for all open-sourced LLM in real-world scenarios and enhance the generalization across dive…

In this work different types of network traffic such as: email, chat, browsing etc were classified using time related features. The main reasn behind using time related features is that they are en…

Deep Learning models for network traffic classification