awslabs / sagemaker-privacy-for-nlp
A solution that helps apply a privacy preserving mechanism to NLP data, using Amazon SageMaker.
☆17Updated 2 years ago
Alternatives and similar repositories for sagemaker-privacy-for-nlp:
Users that are interested in sagemaker-privacy-for-nlp are comparing it to the libraries listed below
- Privacy-preserving XGBoost Inference☆48Updated last year
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆50Updated 4 months ago
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPML☆12Updated 3 years ago
- A privacy preserving NLP framework☆198Updated last year
- FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Pre…☆224Updated 2 years ago
- Privacy-preserving generative deep neural networks support clinical data sharing☆104Updated 5 years ago
- Federated gradient boosted decision tree learning☆69Updated last year
- A codebase that makes differentially private training of transformers easy.☆167Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆132Updated 5 months ago
- ☆35Updated last year
- Python language bindings for smartnoise-core.☆75Updated last year
- ☆18Updated 3 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 3 years ago
- ☆48Updated 3 years ago
- PriMIA: Privacy-preserving Medical Image Analysis☆130Updated last year
- A concise primer on Differential Privacy☆28Updated 4 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"☆27Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆257Updated last week
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆42Updated 3 years ago
- ☆23Updated last year
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated 11 months ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 9 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆340Updated this week
- A toolbox for differentially private data generation☆128Updated last year
- Federated Learning Utilities and Tools for Experimentation☆186Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆269Updated last year