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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Corresponding code to "Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning " @ AAAI 2020.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
ATLAS: A Sequence-based Learning Approach for Attack Investigation
Attack Flow helps executives, SOC managers, and defenders easily understand how attackers compose ATT&CK techniques into attacks by developing a representation of attack flows, modeling attack flows for a small corpus of incidents, and creating visualization tools to display attack flows.
GitHub mirror of the Linux Kernel's audit repository
Have fun with audit log analysis :)
Python scripts to analyze an authentication dataset.
This repository contains the code implementation for the paper titled "Automated detection of unstructured context-dependent sensitive information using deep learning."
A Cloud Forensics Powershell module to run threat hunting playbooks on data from Azure and O365
This is the blockchain network of a Crowdshipping platform using Hyperledger Fabric
Command Line Tool for CamFlow Linux Provenance capture
Julia package to Compare Graph Embeddings
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.
CREME: A toolchain of automatic dataset collection for machine learning in intrusion detection
CREMEv2: A toolchain of automatic dataset collection for machine learning in intrusion detection based on MITRE ATT&CK
A framework for Privacy Preserving Machine Learning
CV-Inspector: Given a set of sites, it automate the crawling, data collection, differential analysis, and labeling of the sites for circumvention of adblockers
Cyber Anomaly Detection using RNN Language model
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
Introduction to Data-Centric AI, MIT IAP 2023 🤖
Software to support creation, visualization and querying of Data Derivation Graphs.
Implementation for paper DeepC2.
This repository contains implementations and illustrative code to accompany DeepMind publications
DeltaPy - Tabular Data Augmentation (by @firmai)
Detecting Lateral Movement with Machine Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.