Privacy-Preserving Techniques for Data Analysis and Machine Learning (Q168565): Difference between revisions

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description / endescription / en
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
Private data analysis & machine learning techniques.

Revision as of 14:30, 30 August 2024

Private data analysis & machine learning techniques.
  • Differential Privacy
  • Federated Learning
  • k-Anonymity
  • Privacy Preservation
  • Location Privacy
  • Data Mining
  • Anonymization
  • Secure Computation
  • Membership Inference Attacks
Language Label Description Also known as
English
Privacy-Preserving Techniques for Data Analysis and Machine Learning
Private data analysis & machine learning techniques.
  • Differential Privacy
  • Federated Learning
  • k-Anonymity
  • Privacy Preservation
  • Location Privacy
  • Data Mining
  • Anonymization
  • Secure Computation
  • Membership Inference Attacks

Statements

uses
machine learning
0 references
 
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