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
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆51Updated 7 months ago
- A privacy preserving NLP framework☆197Updated last year
- Annotated corpus + evaluation metrics for text anonymisation☆55Updated last year
- Federated gradient boosted decision tree learning☆69Updated last year
- FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Pre…☆223Updated 2 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- ☆35Updated last year
- A toolbox for differentially private data generation☆131Updated last year
- Privacy-preserving generative deep neural networks support clinical data sharing☆105Updated 5 years ago
- ☆23Updated last year
- ☆51Updated 3 years ago
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPML☆12Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆272Updated last year
- Tools and service for differentially private processing of tabular and relational data☆262Updated 2 months ago
- A concise primer on Differential Privacy☆29Updated 4 years ago
- A codebase that makes differentially private training of transformers easy.☆171Updated 2 years ago
- Privacy-preserving representations of training data for de-identification☆17Updated 2 years ago
- Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"☆27Updated 3 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆82Updated 3 weeks ago
- Federated Learning Utilities and Tools for Experimentation☆189Updated last year
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- ☆20Updated 4 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Data Programming by Demonstration (DPBD) for Document Classification☆35Updated 3 years ago
- ☆30Updated 5 years ago
- Platform enabling Rapid Annotation for Clinical Entity Recognition☆50Updated 3 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- A SMPC companion library for Syft☆102Updated 4 months ago