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Secure multi-party differential privacy
Peter Kairouz
, Sewoong Oh
,
Pramod Viswanath
Coordinated Science Lab
Industrial and Enterprise Systems Engineering
Siebel School of Computing and Data Science
Electrical and Computer Engineering
Research output
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Conference article
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peer-review
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Keyphrases
Cost Metrics
100%
Differential Privacy
100%
Value Function
50%
Accuracy Measure
50%
Function Computation
50%
Input Measure
50%
Multiple Parties
50%
Interactive Function
50%
Privacy Settings
50%
Privacy Conditions
50%
Non-interactive Protocol
50%
Engineering
Metrics
100%
Optimality
100%
Value Function
50%
Main Result
50%
Mathematics
Optimality
100%
Worst Case
50%
Main Result
50%
Function Value
50%
Computer Science
Differential Privacy
100%
Function Value
50%
Function Computation
50%