A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
Simple pytorch implementation of FGSM and I-FGSM
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
CTF challenges designed and implemented in machine learning applications
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Adversarial Machine Learning (AML) Capture the Flag (CTF)
Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform
AI SBOM: AI Software Bill of Materials - The Supply Chain for Artificial Intelligence
Veritensor is the Zero-Trust security open source tool for the AI Supply Chain. It replace naive model scanning with deep AST analysis and cryptographic signing. From CI/CD to production, Veritensor ensures only verified, safe, and compliant models make it to runtime. Stop guessing, start proving.
Do you want to learn AI Security but don't know where to start ? Take a look at this map.
Hands-on lessons for attacking and defending AI systems, starting with the OWASP Top 10 for LLM Applications.
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
Datasets for training deep neural networks to defend software applications
Test and defend Large Language Models against prompt injections, jailbreaks, and adversarial attacks with a web-based interactive lab.
Summary of the presentation on Real and Stealthy Attacks on State-of-the-Art Face Recognition Systems at the Seminar: Machine Learning in Cyber-security at FU Berlin
Systematic Security Evaluation Framework for AI Coding Assistants - Detection of prompt injection vulnerabilities
A high-security Linux OS for ethical hacking & penetration testing. Built on Kali & Parrot OS. Features AI intrusion detection, stealth VPN, custom kernel & more.
Understanding Adversarial Attacks Through MNIST
Build an AI Security Analyst Assistant with RAG! LEARN FROM SCRATCH
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