Cape Privacy's repositories
Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
tf-trusted allows you to run TensorFlow models in secure enclaves
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
Detecting skin cancer in encrypted images with TensorFlow
The Hybrid Public Key Encryption (HPKE) standard in Python
Repo for Udacity's Secure & Private AI course
The Tensorflow backend for PySyft
An Open Source Machine Learning Framework for Everyone
Layer on top of TensorFlow for doing machine learning on encrypted data
Tooling for Nitro Enclave Management
This project builds the kernel, nsm driver and bootstrap process for AWS Nitro Enclaves.
Getting started with Flux and the Helm Operator
Golang gRPC Middlewares: interceptor chaining, auth, logging, retries and more.
A Homebrew tap for Cape CLI
Kubernetes CRD to load Manifold Credentials as Secrets
Experimental typing stubs for NumPy
Type stubs for the tensorflow library