Kasiviswanathan et al., 2011 - Google Patents
What can we learn privately?Kasiviswanathan et al., 2011
View PDF- Document ID
- 12154067552343221864
- Author
- Kasiviswanathan S
- Lee H
- Nissim K
- Raskhodnikova S
- Smith A
- Publication year
- Publication venue
- SIAM Journal on Computing
External Links
Snippet
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask, What concept classes can be learned privately, namely, by an algorithm whose output does not depend …
- 230000003044 adaptive 0 abstract description 24
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
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- G—PHYSICS
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
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- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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