Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
The ubiquitous need for analyzing privacy-sensitive information—including health records, personal communications, product ratings and social network data—is driving significant interest in privacy-preserving data analysis across several research communities. This paper explores the release of Supp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2012-07-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/612 |