Our Data, Ourselves: Privacy Via Distributed Noise Generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor
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Citation edge evidence
- Deep Learning with Differential Privacy→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- The Algorithmic Foundations of Differential Privacy→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- Practical Secure Aggregation for Privacy-Preserving Machine Learning→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- Differential Privacy: A Survey of Results→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- RAPPOR→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Our Data, Ourselves: Privacy Via Distributed Noise GenerationLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→The Byzantine Generals ProblemLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Protocols for secure computationsLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Privacy-preserving data miningLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Protocols for secure computationsLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Foundations of CryptographyLegacy edge — source detail unavailable
- Our Data, Ourselves: Privacy Via Distributed Noise Generation→Foundations of Cryptography: Volume 2, Basic ApplicationsLegacy edge — source detail unavailable
- Calibrating Noise to Sensitivity in Private Data Analysis→Privacy-preserving data miningLegacy edge — source detail unavailable
- RAPPOR→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- The Algorithmic Foundations of Differential Privacy→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→Privacy-preserving data miningLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→The Algorithmic Foundations of Differential PrivacyLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
- Practical Secure Aggregation for Privacy-Preserving Machine Learning→RAPPORLegacy 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→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→The Algorithmic Foundations of Differential PrivacyLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Protocols for secure computationsLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→The Byzantine Generals ProblemLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Calibrating Noise to Sensitivity in Private Data Analysis | 2006 | 7,210 |
| The Byzantine Generals Problem | 1982 | 6,037 |
| Protocols for secure computations | 1982 | 3,069 |
| Privacy-preserving data mining | 2000 | 2,997 |
| Protocols for secure computations | 1982 | 2,727 |
| Foundations of Cryptography | 2004 | 1,795 |
| Foundations of Cryptography: Volume 2, Basic Applications | 2004 | 1,611 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Deep Learning with Differential Privacy | 2016 | 6,220 |
| Advances and Open Problems in Federated Learning | 2020 | 5,383 |
| The Algorithmic Foundations of Differential Privacy | 2013 | 4,058 |
| Practical Secure Aggregation for Privacy-Preserving Machine Learning | 2017 | 3,744 |
| Differential Privacy: A Survey of Results | 2008 | 3,392 |
| RAPPOR | 2014 | 1,548 |
| Federated Learning for Healthcare Informatics | 2020 | 1,497 |
Links
Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Cryptography and Data Security | Computer Science |
| Vehicular Ad Hoc Networks (VANETs) | Engineering |
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- supports31 reference(s) recorded.
- neutralThe DOI carries no year to check against.
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