Performance Truthfulness of Differential Privacy for DB Testing
Abstract
References
Recommendations
An Emerging Strategy for Privacy Preserving Databases: Differential Privacy
HCI for Cybersecurity, Privacy and TrustAbstractData De-identification and Differential Privacy are two possible approaches for providing data security and user privacy. Data de-identification is the process where the personal identifiable information of individuals is extracted to create ...
A Novel Differential Privacy Approach that Enhances Classification Accuracy
C3S2E '16: Proceedings of the Ninth International C* Conference on Computer Science & Software EngineeringIn the recent past, there has been a tremendous increase of large repositories of data, examples being in healthcare data, consumer data from retailers, and airline passenger data. These data are continually being shared with interested parties, either ...
A privacy framework: indistinguishable privacy
EDBT '13: Proceedings of the Joint EDBT/ICDT 2013 WorkshopsIn this paper we illustrate a privacy framework named Indistinguishable Privacy. Indistinguishable privacy could be deemed as the formalization of the existing privacy definitions in privacy preserving data publishing as well as secure multi-party ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Conferences](/cms/asset/ecf04ee9-880e-4130-9267-c00ae2c21668/3662165.cover.jpg)
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 40Total Downloads
- Downloads (Last 12 months)40
- Downloads (Last 6 weeks)28
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in