Synthetic Data Generation for Anonymization
Because of regulations but also from a need to find willing participants for surveys, any released data needs to have some sort of privacy preservation. Privacy preservation, however, always requires some sort of reduction of the utility of the data, how much can vary with the method. Synthetic data...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276239 |