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Unintended Memorization and Timing Attacks in Named Entity Recognition Models
In this paper, we study the setting when NER models are available as a black-box service for identifying sensitive information in user documents and show that these models are vulnerable to membership inference on their training datasets.
Privacy-Preserving Spam Filtering using Functional Encryption
Spam classification over encrypted emails enables the classifier to classify spam email without accessing the email, hence protects the privacy of email content.
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