Differential Privacy

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• The Algorithmic Foundations of Differential Privacy→Differential PrivacyLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Differential PrivacyLegacy edge — source detail unavailable
• Fairness through awareness→Differential PrivacyLegacy edge — source detail unavailable
• Differential Privacy: A Survey of Results→Differential PrivacyLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Differential PrivacyLegacy edge — source detail unavailable
• Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures→Differential PrivacyLegacy edge — source detail unavailable
• Decentralizing Privacy: Using Blockchain to Protect Personal Data→Differential PrivacyLegacy edge — source detail unavailable
• Robust De-anonymization of Large Sparse Datasets→Differential PrivacyLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning→Differential PrivacyLegacy edge — source detail unavailable
• Privacy-preserving data publishing→Differential PrivacyLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Differential PrivacyLegacy edge — source detail unavailable
• Differential Privacy→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• Differential Privacy→Privacy-preserving data miningLegacy 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
• Calibrating Noise to Sensitivity in Private Data Analysis→Privacy-preserving data miningLegacy edge — source detail unavailable
• The Algorithmic Foundations of Differential Privacy→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• The Algorithmic Foundations of Differential Privacy→Robust De-anonymization of Large Sparse DatasetsLegacy edge — source detail unavailable
• Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures→Robust De-anonymization of Large Sparse DatasetsLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning→The Algorithmic Foundations of Differential PrivacyLegacy edge — source detail unavailable
• Fairness through awareness→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy 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→Privacy-preserving data miningLegacy edge — source detail unavailable
• Robust De-anonymization of Large Sparse Datasets→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• Robust De-anonymization of Large Sparse Datasets→ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSIONLegacy edge — source detail unavailable
• Robust De-anonymization of Large Sparse Datasets→Privacy-preserving data miningLegacy edge — source detail unavailable
• Robust De-anonymization of Large Sparse Datasets→Privacy-preserving data miningLegacy 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 Privacy: A Survey of ResultsLegacy 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
• Privacy-preserving data publishing→Privacy-preserving data miningLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→The Algorithmic Foundations of Differential PrivacyLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Model Inversion Attacks that Exploit Confidence Information and Basic CountermeasuresLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Robust De-anonymization of Large Sparse DatasetsLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Robust De-anonymization of Large Sparse DatasetsLegacy edge — source detail unavailable