awesome-mlsecops
github.com/riccardobiosas/awesome-mlsecops ↗A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me open source security tools resources from awesome-mlsecops"
Installation instructions →What's inside
Open Source Security Tools
- AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow
- Adversarial Machine Learning CTF
This repository is a CTF challenge, showing a security flaw in most (all?) common artificial neural networks. They are vulnerable for adversarial images
- Adversarial ML Threat Matrix
Adversarial Threat Landscape for AI Systems
- Adversarial Robustness Toolbox
Library of defense methods for ML models against adversarial attacks
- Advertorch
Python toolbox for adversarial robustness research
- Agentic Security
Agentic LLM Vulnerability Scanner / AI red teaming kit
Books
Attack Vectors
Blogs and Publications
101 Resources
- AI Risk Assessment for ML Engineers
- AI Security 101
- Microsoft AI Red Team
- Microsoft - Generative AI Security for beginners
Generative AI Security for beginners
- Web LLM attacks
Community Resources
Threat Modeling
DATA
- ARX - Data Anonymization Tool
Tool for anonymizing datasets
- BMW-Anonymization-Api
This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation
- Data-Veil
Data masking and anonymization tool
- DeepPrivacy2
A Toolbox for Realistic Image Anonymization
- PPAP
Latent-space-level Image Anonymization with Adversarial Protector Networks
- Tool for DATA anonymization
Data anonymization
Showing a sample of 136 resources. View the full list on GitHub →