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1. WO2017190004 - DIFFERENTIALLY PRIVATE ITERATIVELY REWEIGHTED LEAST SQUARES

Publication Number WO/2017/190004
Publication Date 02.11.2017
International Application No. PCT/US2017/030123
International Filing Date 28.04.2017
Chapter 2 Demand Filed 28.02.2018
IPC
G06F 21/62 2013.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
G06F 17/00 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
G06N 99/00 2010.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99Subject matter not provided for in other groups of this subclass
CPC
G06F 17/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
G06F 17/11
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
11for solving equations ; , e.g. nonlinear equations, general mathematical optimization problems
G06F 21/6245
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
6218to a system of files or objects, e.g. local or distributed file system or database
6245Protecting personal data, e.g. for financial or medical purposes
G06F 21/6254
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
6218to a system of files or objects, e.g. local or distributed file system or database
6245Protecting personal data, e.g. for financial or medical purposes
6254by anonymising data, e.g. decorrelating personal data from the owner's identification
G06F 21/6263
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
6218to a system of files or objects, e.g. local or distributed file system or database
6245Protecting personal data, e.g. for financial or medical purposes
6263during internet communication, e.g. revealing personal data from cookies
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • QUALCOMM INCORPORATED [US]/[US]
Inventors
  • PARK, Mijung
  • WELLING, Max
Agents
  • LENKIN, Alan M.
  • LUTZ, Joseph
  • CROSBY, Cornell D.
  • PARTOW-NAVID, Puya
  • FASHU-KANU, Alvin V.
Priority Data
15/499,45427.04.2017US
62/329,18628.04.2016US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) DIFFERENTIALLY PRIVATE ITERATIVELY REWEIGHTED LEAST SQUARES
(FR) MOINDRES CARRÉS PONDÉRÉS DE MANIÈRE ITÉRATIVE ET DIFFÉRENTIELLEMENT PRIVÉS
Abstract
(EN) A method for privatizing an iteratively reweighted least squares (IRLS) solution includes perturbing a first moment of a dataset by adding noise and perturbing a second moment of the dataset by adding noise. The method also includes obtaining the IRLS solution based on the perturbed first moment and the perturbed second moment. The method further includes generating a differentially private output based on the IRLS solution.
(FR) La présente invention concerne un procédé de privatisation d'une solution de moindres carrés pondérés de manière itérative (IRLS) consistant à perturber un premier moment d'un ensemble de données en ajoutant du bruit et à perturber un second moment de l'ensemble de données en ajoutant du bruit. Le procédé consiste également à obtenir la solution d'IRLS sur la base du premier moment perturbé et du second moment perturbé. Le procédé consiste en outre à générer une sortie différentiellement privée sur la base de la solution d'IRLS.
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