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machine_unlearning

Existing Literature about Machine Unlearning

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

mail-probe

邮箱探针后台管理系统

malgraph

Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"

malicious-lateral-movement-traces-generation

An algorithm for my paper: AGE

malicious_urls_detection

School projet for malicious URLs detection with dataset comparison

malkg

Usenix 2021 submission for Paper - Knowledge Graph Generation and Entity Prediction for Contextual Malware Threat Intelligence

malkg-1

Official repository for MalKG

malkg-2

malware-traffic

matplotlib-tutorial

Matplotlib tutorial for beginner

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679

memstream

MemStream: Memory-Based Streaming Anomaly Detection

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

metis

Metis is a learnware platform in the field of AIOps.

metric_visualizer

For easy metric logging and visualization

midas

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

midas.python

Python implementation of the MIDAS algorithm.

mitre2datatables

Bring Your Own Mitre Att&ck © Matrix !

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml4cyber2022

Code used for ML4Cyber2022 publication

ml_cyber_security_usecases

This project contains files for cyber security

modeler

msrc-security-research

Security Research from the Microsoft Security Response Center (MSRC)

msticpy

Microsoft Threat Intelligence Security Tools

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

multi-scale-one-class-recurrent-neural-networks

Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"

multilayerblockmodels

Code associated with our paper "Multilayer Block Models for Exploratory Analysis of Computer Event Logs".

mvts-ano-eval

A repository for code to evaluate algorithms for semi-supervised multivariate time-series anomaly detection, accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (under review at TNNLS)