Differential Privacy

Fiduciary Exchange provides a complete platform for privacy preserving computation. Although it is much broader in scope and capability than anything before it, its newness might still cause confusion with other privacy protection technologies.

Our focus is NOT on protecting privacy when data has already been provided to ANOTHER party for analysis.

We are protecting privacy by letting the data sources analyse their data THEMSELVES and providing only the results to others.

As a delivery platform, Fiduciary Exchange actually complements instead of competes with these technologies.

Nevertheless there will be comparisons with recent privacy developments like Differential Privacy which we can discuss on this forum.

Note:
Differential Privacy is just mathematical definition of privacy, it is NOT a privacy protecting technology in itself. But there are some privacy technologies that reference Differential Privacy in their discussions.

Differential Privacy: A Primer for a Non-Technical Audience

Enabling developers and organizations to use differential privacy

Comment

google

What is point of worrying about Differential Privacy in Google, when Google controls the whole data path from collection to analysis ?

 

exchange

Fiduciary Exchange lets you control the whole data path.

Learning with Privacy at Scale

Comment

apple

What is point of worrying about Differential Privacy in Apple, when Apple controls the whole data path from collection to analysis ?

 

exchange

Fiduciary Exchange lets you control the whole data path.

The Algorithmic Foundations of Differential Privacy