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Create pc_translator library. #2265

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Summary:

Context

As per PC Translator design, we need a runtime library will be called during PC run. This library will be called at the beginning of PC run to encode specified fields in publisher side input into a encoded breakdown (aggregation) Ids based on active PC instruction sets for the run. The library will filter the active PC Instruction sets for the run based on parsing the pcs_features i.e. gatekeepers for the particular run.

Product decisions

In this stack we would focus solely on functionality required for private lift runs.
We would focus on the MVP implementation of the library and its integration with fbpcf ORAM encoder library in this stack.

Stack

  1. Create runtime pc_translator library.
  2. Add logic to retrieve and parse PC instruction set, filtered based on the active gatekeepers for the run.
  3. Integrate pc_translator library with fbpcf ORAM encoder.
  4. Add logic to generate transformed publisher output with encoded breakdown ID and write the output.

In this diff

Create runtime pc_translator library.

Differential Revision:
D44617759

Privacy Context Container: L416713

@facebook-github-bot facebook-github-bot added CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. fb-exported labels Apr 4, 2023
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This pull request was exported from Phabricator. Differential Revision: D44617759

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This pull request was exported from Phabricator. Differential Revision: D44617759

ajinkya-ghonge pushed a commit that referenced this pull request Apr 5, 2023
Summary:
Pull Request resolved: #2265

# Context
As per PC Translator design, we need a runtime library will be called during PC run. This library will be called at the beginning of PC run to encode specified fields in publisher side input into a encoded breakdown (aggregation) Ids based on active PC instruction sets for the run. The library will filter the active PC Instruction sets for the run based on parsing the pcs_features i.e. gatekeepers for the particular run.

# Product decisions
In this stack we would focus solely on functionality required for private lift runs.
We would focus on the MVP implementation of the library and its integration with fbpcf ORAM encoder library in this stack.

# Stack
1. Create runtime pc_translator library.
2. Add logic to retrieve and parse PC instruction set, filtered based on the active gatekeepers for the run.
3. Integrate pc_translator library with fbpcf ORAM encoder.
4. Add logic to generate transformed publisher output with encoded breakdown ID and write the output.

# In this diff
Create runtime pc_translator library.

Differential Revision:
D44617759

Privacy Context Container: L416713

fbshipit-source-id: d2249945153218b314333411fa5adf321df53fca
Summary:
Pull Request resolved: #2265

# Context
As per PC Translator design, we need a runtime library will be called during PC run. This library will be called at the beginning of PC run to encode specified fields in publisher side input into a encoded breakdown (aggregation) Ids based on active PC instruction sets for the run. The library will filter the active PC Instruction sets for the run based on parsing the pcs_features i.e. gatekeepers for the particular run.

# Product decisions
In this stack we would focus solely on functionality required for private lift runs.
We would focus on the MVP implementation of the library and its integration with fbpcf ORAM encoder library in this stack.

# Stack
1. Create runtime pc_translator library.
2. Add logic to retrieve and parse PC instruction set, filtered based on the active gatekeepers for the run.
3. Integrate pc_translator library with fbpcf ORAM encoder.
4. Add logic to generate transformed publisher output with encoded breakdown ID and write the output.

# In this diff
Create runtime pc_translator library.

Differential Revision:
D44617759

Privacy Context Container: L416713

fbshipit-source-id: 597c84acaaea3b63ee08e9d0b43c6dd2231b4d9a
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D44617759

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2 participants