Papers by Jung Hee Cheon
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption (2022.naacl-main)
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| Challenge: | Embeddings compress information into low-dimensional vectors, but can leak private information about sensitive attributes of text. |
| Approach: | They propose a method to privatize embeddings based on homomorphic encryption to prevent leakage of sensitive information in the process of text classification. |
| Outcome: | The proposed method can protect embeddings from leakage while preserving their utility on downstream tasks. |