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Related Concept Videos

Ethical Standards II01:23

Ethical Standards II

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Related Experiment Video

Updated: May 16, 2026

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment
06:25

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

Published on: December 23, 2020

Toward practicing privacy.

Cynthia Dwork1, Rebecca Pottenger

  • 1Microsoft Research, 1065 La Avenida, Mountain View, CA 94043, USA. dwork@microsoft.com

Journal of the American Medical Informatics Association : JAMIA
|December 18, 2012
PubMed
Summary
This summary is machine-generated.

Differential privacy offers a rigorous approach to analyzing confidential data. This emerging standard is under investigation for practical implementation challenges in private data analysis.

Related Experiment Videos

Last Updated: May 16, 2026

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment
06:25

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

Published on: December 23, 2020

Area of Science:

  • Computer Science
  • Statistics
  • Information Security

Background:

  • Private data analysis necessitates a robust definition of privacy.
  • Confidential data analysis is crucial across various sectors.
  • Existing privacy definitions may lack rigor or practicality.

Purpose of the Study:

  • To review the definition of differential privacy.
  • To explain the motivation behind differential privacy.
  • To discuss challenges in implementing differential privacy.

Main Methods:

  • Literature review of differential privacy.
  • Conceptual analysis of privacy definitions.
  • Discussion of practical implementation hurdles.

Main Results:

  • Differential privacy provides a rigorous framework for data privacy.
  • The motivation for differential privacy stems from the need for provable privacy guarantees.
  • Significant challenges exist in applying differential privacy in real-world scenarios.

Conclusions:

  • Differential privacy is a key concept for secure data analysis.
  • Further research is needed to overcome practical challenges.
  • Bridging the gap between theory and practice is essential for widespread adoption.