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Natasha Fernandes

Empirical Calibration and Metric Differential Privacy in Language Models

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Mar 18, 2025
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Comparing privacy notions for protection against reconstruction attacks in machine learning

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Feb 06, 2025
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Bayes' capacity as a measure for reconstruction attacks in federated learning

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Jun 19, 2024
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Directional Privacy for Deep Learning

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Nov 09, 2022
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Locality Sensitive Hashing with Extended Differential Privacy

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Nov 01, 2020
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Generalised Differential Privacy for Text Document Processing

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Nov 26, 2018
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