Privacy-preserving data publishing
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
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Citation edge evidence
- Privacy-preserving data publishing→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Privacy-preserving data publishing→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Differential PrivacyLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Untraceable electronic mail, return addresses, and digital pseudonymsLegacy edge — source detail unavailable
- Privacy-preserving data publishing→L -diversityLegacy edge — source detail unavailable
- Privacy-preserving data publishing→t-Closeness: Privacy Beyond k-Anonymity and l-DiversityLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Privacy-preserving data miningLegacy edge — source detail unavailable
- Privacy-preserving data publishing→L-diversity: privacy beyond k-anonymityLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Protecting respondents identities in microdata releaseLegacy edge — source detail unavailable
- Privacy-preserving data publishing→ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSIONLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Privacy-preserving data miningLegacy edge — source detail unavailable
- Calibrating Noise to Sensitivity in Private Data Analysis→Privacy-preserving data miningLegacy edge — source detail unavailable
- Calibrating Noise to Sensitivity in Private Data Analysis→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSIONLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→Privacy-preserving data miningLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→L -diversityLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→L-diversity: privacy beyond k-anonymityLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→Differential PrivacyLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→Privacy-preserving data miningLegacy edge — source detail unavailable
- ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- L -diversity→Protecting respondents identities in microdata releaseLegacy edge — source detail unavailable
- L -diversity→Privacy-preserving data miningLegacy edge — source detail unavailable
- L -diversity→L-diversity: privacy beyond k-anonymityLegacy edge — source detail unavailable
- L -diversity→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- L -diversity→Privacy-preserving data miningLegacy edge — source detail unavailable
- L-diversity: privacy beyond k-anonymity→Protecting respondents identities in microdata releaseLegacy edge — source detail unavailable
- L-diversity: privacy beyond k-anonymity→Privacy-preserving data miningLegacy edge — source detail unavailable
- L-diversity: privacy beyond k-anonymity→L -diversityLegacy edge — source detail unavailable
- L-diversity: privacy beyond k-anonymity→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity→ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSIONLegacy edge — source detail unavailable
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity→Protecting respondents identities in microdata releaseLegacy edge — source detail unavailable
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity→L -diversityLegacy edge — source detail unavailable
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity→L-diversity: privacy beyond k-anonymityLegacy edge — source detail unavailable
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
- Differential Privacy→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Differential Privacy→ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSIONLegacy edge — source detail unavailable
- Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
- Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
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Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Privacy, Security, and Data Protection | Social Sciences |
| Cryptography and Data Security | Computer Science |
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