Improving Privacy Benefits of Redaction
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916798374346752 |
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| author | Gusain, Vaibhav Leith, Douglas |
| author_facet | Gusain, Vaibhav Leith, Douglas |
| contents | We propose a novel redaction methodology that can be used to sanitize natural text data. Our new technique provides better privacy benefits than other state of the art techniques while maintaining lower redaction levels. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_17762 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving Privacy Benefits of Redaction Gusain, Vaibhav Leith, Douglas Cryptography and Security Computation and Language Machine Learning We propose a novel redaction methodology that can be used to sanitize natural text data. Our new technique provides better privacy benefits than other state of the art techniques while maintaining lower redaction levels. |
| title | Improving Privacy Benefits of Redaction |
| topic | Cryptography and Security Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2501.17762 |