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Researcher profile

Shiva Prasad Kasiviswanathan

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. 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 …

  2. 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 …