A wrapper for Machine Learning and Data Science libraries that allows to control and enforce data usage policies. Released data can be misused, but releasing data access is crucial for the functionality of many services.
Our framework binds datasets or even individual data points with the corresponding policies which specify how the developer can use them.
- Integration with Jupyter notebook
- Release beta version
- Use cases implementation
- (Potentially) Implement SMC and homomorphic encryption
If you are interested in learning more, email: eugene@cs.cornell.edu