A proof of concept framework to orchestrate Interoperable Differentially Private Data Clean Room Services on Intel SGX.
A Data Clean Room is a secure environment where organizations can collect data from multiple sources and combine it with their first-party data. Doing so allows marketers to leverage large, aggregated datasets of consumer behavior to provide insight into critical factors like performance, demographics, campaigns, etc.
Data clean rooms allow companies to extract value from aggregate datasets sourced from multiple parties while prioritizing user privacy and maintaining strict security measures.
This Repo follows following Contributing Guidelines
NOTE: This project is hosted under GSSoC'23. Please go through GSSoc_CONTRIBUTING.md before moving on the any issues. You can ask any queries on discord channel or Discussion Board mentioned.
To Run an example Data Clean Room Scenario.
You can see the sample collaboration package in samples/init_collaboration. You can also look at some sample packages under construction along with their graph images in samples/test_graph
dcr
binary.
make build
./bin/dcr run --pkgpath samples/init_collaboration
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