A collaborative effort to create prototype of the helper (or server) components of the Interoperable Private Attribution (IPA) proposal.
IPA enables attribution, providing information about how advertising campaigns are delivering value to advertisers, while giving users strong privacy assurances. IPA uses multi-party computation (MPC) to achieve this goal. IPA relies on three helper nodes (servers) that are trusted to faithfully execute the protocol without conspiring with other helper nodes to violate user privacy.
This project is intended to be a functional, performant, and comprehensible implementation of the core IPA protocol. This should allow for validation of the implementation and should enable performance measurement.
The eventual goal is to provide the core of an implementation that could be deployed and used. This will require additional infrastructure in order to meet the privacy and security goals of the project.
This is very much a work in progress; input is welcome. However, see our contribution guidelines for some important notices regarding how to participate in the project.
First, clone this repo. If you have the GitHub CLI installed:
gh repo clone private-attribution/ipa && cd ipa
or just with Git:
git clone https://github.com/private-attribution/ipa && cd ipa
Check to make sure you have a recent version of Rust with
rustc -V
If you do not have Rust installed, see the rust-lang instructions.
To build the project, run:
cargo build
The first time, it will download the necessary packages (crates) and compile the project.
If you're just running tests/benchmarks, it will build automatically and you can skip this step.
To run the test suite, run
cargo test
There are a handful of benchmarks which can be run, but oneshot_ipa will run the whole protocol locally. On a M1 Macbook Pro, this takes a couple minutes.
cargo bench --bench oneshot_ipa --no-default-features --features="enable-benches compact-gate"
Other benchmarks you can run:
Sorting:
cargo bench --bench oneshot_sort --no-default-features --features="enable-benches compact-gate"
Arithmetic gates:
cargo bench --bench oneshot_arithmetic --no-default-features --features="enable-benches compact-gate" -- --width 1 --depth 1
You can adjust the width and depth of the gates at the expense of a longer benchmarking run.
Other:
cargo bench --bench criterion_arithmetic --no-default-features --features="enable-benches compact-gate"
cargo bench --bench iai_arithmetic --no-default-features --features="enable-benches compact-gate"
(NOTE: This benchmark only works on Linux. If you are on macOS, an error is expected.)