Papers by Oluwaseyi Feyisetan

1 papers
Privacy-Preserving Natural Language Processing (2023.eacl-tutorials)

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Challenge: This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods.
Approach: This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods.
Outcome: The tutorial will cover membership inference, differential privacy, homomorphic encryption, or federated learning, all with typical use-cases and potential pitfalls.

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