enable privacy evaluation for models trained externally #23
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Conflicts: # guardian_ai/privacy_estimation/dataset.py
oracle-contributor-agreement
bot
added
the
OCA Verified
mohsinehajar
changed the title
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR enables the framework to support the evaluation of models trained outside Guardian AI. These changes specifically affect the privacy estimation component and do not impact other parts of the system
With this update, users can now use Guardian AI to evaluate externally trained models without needing to retrain them within the framework. This enhances flexibility while maintaining compatibility with the existing evaluation pipeline