plurid-data-structures-typescript VS PSI

Somewhat along these lines, I have formed a concept forcedly called "differentially composable string", or "deposed string", or more precise "poor man's git".

The intended use case is to obtain a compact representation of all the historic text entered into an input field (notes, comments, maybe long-form): all the stages of the text, where a stage is a tuple [add/remove, start_index, text/end_index]. Once you get the stages from the deposed string as JSON, you could transform them however you want then load them into a new deposed string.

You can read more on GitHub: https://github.com/plurid/plurid-data-structures-typescript#... or play around on my note-taking app implementing deposed strings and more: https://denote.plurid.com

There are other techniques that aren't generally included in the "Zero Knowledge Proofs" set of techniques that are perhaps more practical for general development.

For example, I fine private set intersection[1] as implemented by OpenMined a really useful primative a bunch of privacy enhancing applications can be built on top of.

My colleagues and I recently published a pre-print[2] showing how to use this for sharing locations you and another person have had in common, without being able to see other locations. The paper talks about a social network built around this but I also think there are useful applications in things like real-world games (scavenger hunts etc)

[1] https://github.com/OpenMined/PSI/blob/master/private_set_int...

[2] https://arxiv.org/abs/2210.01927

I came here to say Golomb compressed sets except now I see it's part of the question!

They are used by default in the OpenMined implementation of Private Set Intersection[1] - a multi-party computation technique.

[1] https://github.com/OpenMined/PSI/blob/master/private_set_int...

I was using OpenMinded/PSI exploring some PSI implementations, but I would like a way for the server to know the intersection size. Say Signal wants to calculate the average number of users from one person's address book (or whatever).