AI-secure/aug-pe
[ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
This project helps data analysts and researchers create artificial text data that mimics real data, such as Yelp reviews or scientific abstracts, while protecting the original data's privacy. You provide your sensitive text data, and it generates new, synthetic text that has similar characteristics but can't be traced back to individuals. This is perfect for sharing datasets or developing models without compromising confidentiality.
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Use this if you need to generate privacy-preserving synthetic text data from sensitive sources like customer reviews, medical abstracts, or research papers for analysis or model training.
Not ideal if you need to generate synthetic data for images or other non-text data types, or if you require perfect, verbatim copies of your original text.
Stars
57
Forks
17
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 11, 2025
Commits (30d)
0
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