https://github.com/facebookresearch/FBPCS

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.
https://github.com/facebookresearch/FBPCS

Last synced: about 1 month ago
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FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.

• Host: GitHub
• URL: https://github.com/facebookresearch/FBPCS
• Owner: facebookresearch
• License: mit
• Created: 2021-08-02T18:32:46.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-12T12:37:12.000Z (8 months ago)
• Last Synced: 2024-04-12T13:22:53.592Z (8 months ago)
• Language: Python
• Homepage:
• Size: 20.2 MB
• Stars: 137
• Watchers: 31
• Forks: 161
• Open Issues: 98
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: docs/security_reviews/NCC_Group_MetaPlatformsInc_E004159_DLOE_Report_2022-08-05_DLOE-Multi-Key-Private-ID.pdf

Awesome Lists containing this project

• awesome-privacy-engineering - Facebook Private Computation Solutions - Facebook Private Computation Solutions (FBPCS) is a secure, privacy safe and scalable architecture to deploy multi-party computation applications in a distributed way on virtual private clouds via Private Scaling architecture. FBPCS consists of various services, interfaces that enable various private measurement solutions, e.g. Private Lift. (Awesome Privacy Engineering [](https://awesome.re) / Secure Multi-Party Computation)

README

        
![Maintenance Mode](https://img.shields.io/badge/maintenance%20mode-%E2%9C%94%EF%B8%8F-red)

**THIS PROJECT IS CURRENTLY IN MAINTENANCE MODE. Only critical bug patches will be applied; no new features will be added.**

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# PCS (Private Computation Solutions)

Private Computation Solutions provides multiple solutions that leverage various Privacy Enhancing Technologies (e.g., multi-party computation, differential privacy) used across Measurement and Signals. The existing solutions include Private Lift and Private Attribution, which allow calculations of Lift and Attribution metrics without revealing opportunity or conversion data on an individual level through 2PC.

## AWS Infra Set-up

* [Instruction](fbpcs/infra/cloud_bridge/README.md)

## Docker Images

* [Data processing](fbpcs/data_processing/README.md)

* [Emp games (including Lift and Attribution)](fbpcs/emp_games/README.md)

## License

PCS is [MIT](LICENSE) licensed, as found in the [LICENSE](LICENSE) file.