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

From geokb
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Differential Privacy
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Federated Learning
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k-Anonymity
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Privacy Preservation
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Machine Learning
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Location Privacy
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Data Mining
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Anonymization
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Secure Computation
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Membership Inference Attacks
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.
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Property / same as: https://openalex.org/T10764 / rank
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Property / uses: machine learning / rank
 
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Property / OpenAlex ID
 
Property / OpenAlex ID: T10764 / rank
 
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Property / addresses subject
 
Property / addresses subject: machine learning / rank
 
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Property / addresses subject: machine learning / reference
 
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Property / addresses subject: data mining / rank
 
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Property / addresses subject: data mining / reference
 

Latest revision as of 21:21, 12 September 2024

Private data analysis & machine learning techniques.
Language Label Description Also known as
English
Privacy-Preserving Techniques for Data Analysis and Machine Learning
Private data analysis & machine learning techniques.

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