Synthetic Data: Methods, Use Cases, and Risks
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arXiv
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866910344503361536 |
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| author | De Cristofaro, Emiliano |
| author_facet | De Cristofaro, Emiliano |
| contents | Sharing data can often enable compelling applications and analytics. However, more often than not, valuable datasets contain information of a sensitive nature, and thus, sharing them can endanger the privacy of users and organizations. A possible alternative gaining momentum in both the research community and industry is to share synthetic data instead. The idea is to release artificially generated datasets that resemble the actual data -- more precisely, having similar statistical properties. In this article, we provide a gentle introduction to synthetic data and discuss its use cases, the privacy challenges that are still unaddressed, and its inherent limitations as an effective privacy-enhancing technology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_01230 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Synthetic Data: Methods, Use Cases, and Risks De Cristofaro, Emiliano Cryptography and Security Artificial Intelligence Computers and Society Sharing data can often enable compelling applications and analytics. However, more often than not, valuable datasets contain information of a sensitive nature, and thus, sharing them can endanger the privacy of users and organizations. A possible alternative gaining momentum in both the research community and industry is to share synthetic data instead. The idea is to release artificially generated datasets that resemble the actual data -- more precisely, having similar statistical properties. In this article, we provide a gentle introduction to synthetic data and discuss its use cases, the privacy challenges that are still unaddressed, and its inherent limitations as an effective privacy-enhancing technology. |
| title | Synthetic Data: Methods, Use Cases, and Risks |
| topic | Cryptography and Security Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/2303.01230 |