Papers by Casey Meehan
Sentence-level Privacy for Document Embeddings (2022.acl-long)
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| Challenge: | Existing studies on the definitions of good privacy for natural language use argue that different applications and models require different definitions. |
| Approach: | They propose a technique that uses a combination of statistics and language modeling to produce high (768) dimensional, general -SentDP document embeddings that guarantee a single sentence can be substituted with any other sentence. |
| Outcome: | The proposed method outperforms baseline methods with weaker guarantees like word-level Metric DP and outperformed baseline methods. |