Oluwaseyi Feyisetan
3 papers in the PaperMetrix corpus
Papers by this author
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Private Release of Text Embedding Vectors
2021
Ensuring strong theoretical privacy guarantees on text data is a challenging problem which is usually attained at the expense of utility. However, to improve the practicality of privacy preserving text analyses, it is essential to …
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On Codomain Separability and Label Inference from (Noisy) Loss Functions.
2021 · arXiv (Cornell University)
Machine learning classifiers rely on loss functions for performance evaluation, often on a private (hidden) dataset. Label inference was recently introduced as the problem of reconstructing the ground truth labels of this private dataset from …
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BRR: Preserving Privacy of Text Data Efficiently on Device
2021 · arXiv (Cornell University)
With the use of personal devices connected to the Internet for tasks such as searches and shopping becoming ubiquitous, ensuring the privacy of the users of such services has become a requirement in order to …