machine-learning-security topic
CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
FGSM
Simple pytorch implementation of FGSM and I-FGSM
train-ai-with-django-swagger-jwt
Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform
HackThisAI
Adversarial Machine Learning (AML) Capture the Flag (CTF)
SecBERT
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
awesome-MLSecOps
A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
Machine_Learning_CTF_Challenges
CTF challenges designed and implemented in machine learning applications
honest-but-curious-nets
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
AI-LLM-ML_security_study_map
Do you want to learn AI Security but don't know where to start ? Take a look at this map.