mmamun1

AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

ATLAS

ATLAS: A Sequence-based Learning Approach for Attack Investigation

audit-kernel

GitHub mirror of the Linux Kernel's audit repository

Audit-log-analysis

Have fun with audit log analysis :)

camflow-cli

Command Line Tool for CamFlow Linux Provenance capture

CGE.jl

Julia package to Compare Graph Embeddings

ClassifierCalibration-Code

Official repo of the article: Yousef, W. A., Traore, I., and Briguglio, W. (2021), "Classifier calibration: with implications to threat scores in cybersecurity", arXiv Preprint, arXiv:2102.05143.

CrypTen

A framework for Privacy Preserving Machine Learning

ctdd-2021-os-syslogs

cv-inspector

CV-Inspector: Given a set of sites, it automate the crawling, data collection, differential analysis, and labeling of the sites for circumvention of adblockers

DepImpact

DlbacAlpha

Administration of Machine Learning Based Access Control

DM

DM Digital Marker Creation

Euler

FLAML

A fast and lightweight AutoML library.

FlowLens

Code for the paper "FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications" [NDSS '21]

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kge

LibKGE - A knowledge graph embedding library for reproducible research

lateral-movement-simulator

A framework for synthesizing lateral movement login data.

lattigo

A library for lattice-based homomorphic encryption in Go

modeler

parsers

path_signatures_introduction

A Brief Introduction to Path Signatures for Machine Learning Practitioners

provenance-papers

Research

novel deep learning research works with PaddlePaddle

ThreatReportExtractor

Extracting Attack Behavior from Threat Reports

TransE-Neo4j-Java

It is the java implantation of paper "Translating Embeddings for Modeling Multi-relational Data".

UNAVOIDS-Code

Official repo of the article: W. A. Yousef, I. Traoré and W. Briguglio, "UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 5195-5210, 2021, doi: 10.1109/TIFS.2021.3125608.

USADTM

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

XCS229ii-FinalProject