Privacy-Preserving Techniques for Data Analysis and Machine Learning (Q168565)

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Revision as of 18:33, 24 June 2024 by Sky (talk | contribs) (‎Changed label, description and/or aliases in en, and other parts: removed Machine Learning from aliases; added Q169132 to addresses subject)
This cluster of papers focuses on privacy-preserving techniques for data analysis and machine learning, including topics such as differential privacy, federated learning, k-anonymity, secure computation, and location privacy
  • Differential Privacy
  • Federated Learning
  • k-Anonymity
  • Privacy Preservation
  • Location Privacy
  • Data Mining
  • Anonymization
  • Secure Computation
  • Membership Inference Attacks
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English
Privacy-Preserving Techniques for Data Analysis and Machine Learning
This cluster of papers focuses on privacy-preserving techniques for data analysis and machine learning, including topics such as differential privacy, federated learning, k-anonymity, secure computation, and location privacy
  • Differential Privacy
  • Federated Learning
  • k-Anonymity
  • Privacy Preservation
  • Location Privacy
  • Data Mining
  • Anonymization
  • Secure Computation
  • Membership Inference Attacks

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