Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant
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Citation edge evidence
- Federated Machine Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
- Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
- L -diversity→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→Privacy-preserving data miningLegacy edge — source detail unavailable
- Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking→Privacy-preserving data miningLegacy edge — source detail unavailable
- SecureML: A System for Scalable Privacy-Preserving Machine Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
- Privacy-preserving data publishing→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→Differential PrivacyLegacy edge — source detail unavailable
- Robust De-anonymization of Large Sparse Datasets→Differential PrivacyLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
- Privacy-preserving data publishing→L -diversityLegacy edge — source detail unavailable
- Privacy-preserving data publishing→Differential PrivacyLegacy edge — source detail unavailable
- SecureML: A System for Scalable Privacy-Preserving Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Machine Learning→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
- Federated Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Machine Learning→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Federated Machine Learning | 2019 | 6,228 |
| Deep Learning with Differential Privacy | 2016 | 6,220 |
| Differential Privacy | 2006 | 5,337 |
| L -diversity | 2007 | 3,628 |
| Differential Privacy: A Survey of Results | 2008 | 3,392 |
| Robust De-anonymization of Large Sparse Datasets | 2008 | 2,349 |
| Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking | 2003 | 2,290 |
| SecureML: A System for Scalable Privacy-Preserving Machine Learning | 2017 | 1,899 |
| Privacy-preserving data publishing | 2010 | 1,651 |
Links
Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Data Quality and Management | Decision Sciences |
| Anomaly Detection Techniques and Applications | Computer Science |
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