|
gptkbp:instance_of
|
gptkb:physicist
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:The_Third_Man:_The_Final_Chapter
|
|
gptkbp:affiliation
|
gptkb:Microsoft_Research
|
|
gptkbp:author
|
gptkb:David_A._Mc_Allester
gptkb:Katherine_Yelick
gptkb:Michael_Mitzenmacher
|
|
gptkbp:awards
|
Best Paper Award
|
|
gptkbp:class
|
Algorithms for Privacy
Differential Privacy Lecture Series
Machine Learning and Privacy
Privacy in Data Science
Statistical Methods for Privacy
|
|
gptkbp:conference
|
gptkb:Neur_IPS
gptkb:STOC
gptkb:SODA
gptkb:ICML
ACMSIGKDD
|
|
gptkbp:contribution
|
gptkb:software
|
|
gptkbp:education
|
gptkb:University
|
|
gptkbp:field
|
Computer Science
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Frank D. Mc Sherry
|
|
gptkbp:influenced_by
|
gptkb:Shafi_Goldwasser
gptkb:Silvio_Micali
gptkb:Ronald_Rivest
gptkb:Cynthia_Dwork
|
|
gptkbp:invention
|
Privacy in Machine Learning
Data Privacy Methods
Differential Privacy Techniques
Statistical Analysis with Privacy Guarantees
|
|
gptkbp:known_for
|
gptkb:Differential_Privacy
|
|
gptkbp:project
|
gptkb:Open_DP
Data Privacy Research
Privacy-Preserving Machine Learning
Differential Privacy Library
Privacy Tools for Sharing Research Data
|
|
gptkbp:published_by
|
Privacy-Preserving Data Analysis
The Algorithmic Foundations of Differential Privacy
Differentially Private Algorithms for Data Analysis
|
|
gptkbp:research_interest
|
gptkb:software_framework
gptkb:Algorithms
Statistics
|