Nupoor Gandhi on Muck Rack

Nupoor Gandhi

As seen in: Amazon Science
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Articles

Evaluating differentially private synthetic data generation in high-stakes domains

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By Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan
| Amazon Science
The difficulty of anonymizing text data hinders the development and deployment of NLP in high-stakes domains that involve private data, such as healthcare and social services. Poorly anonymized sensitive data cannot be easily shared with annotators or external researchers, nor can it be used to train public models.
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Evaluating differentially private synthetic data generation in high-stakes

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By Krithika Ramesh, Lisa Bauer, Nupoor Gandhi, Pulkit Madaan
| Amazon Science
Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris, Anjalie Field Copy BibTeX The difficulty of anonymizing text data hinders the development and deployment of NLP in high-stakes domains that involve private data, such as healthcare and social services. Poorly anonymized sensitive data cannot be easily shared with annotators or external researchers, nor can it be used to train public models.
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