Differential privacy and machine learning: Calculating sensitivity with generated data sets
Privacy has never been more important to maintain in today’s information society. Companies and organizations collect large amounts of data about their users. This information is considered to be valuable due to its statistical usage that provide insight into certain areas such as medicine, economic...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Data- och elektroteknik
2017
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209481 |