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Found 2 papers, 1 papers with code
Memorization of Named Entities in Fine-tuned BERT Models
One such risk is training data extraction from language models that have been trained on datasets, which contain personal and privacy sensitive information.
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
To control the influence of anonymization over unstructured textual data versus structured data attributes, we introduce a modified, parameterized Mondrian algorithm.
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