高级可视化神器plotly的学习

Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspire…

PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)

多进程读取pcap，基于五元组分流并提取流量特征。结果输出为csv文件，用于机器学习中对加密流量进行分类

包含灰色预测模型：灰色单变量预测模型GM(1,1)模型，灰色多变量预测模型GM(1,N)模型，GM(1,N)幂模型，灰色多变量周期幂模型GM(1,N|sin)幂模型，以及灰色关联模型

SessionVideo: A Novel Approach for Encrypted Traffic Classification via 3D-CNN Model

Feature extraction from PCAP files.

Cloned from 2020 Paper from NDSS

This is a python implementation of the original work in the paper 'Truth will out', Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems. Original Matlab implementation av…

A curated list of resources dedicated to reinforcement learning applied to cyber security.

Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)

deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

Traffic Morphing Framework

HomePwn - Swiss Army Knife for Pentesting of IoT Devices

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

Deep Abstention Time Series Classifier

Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)