approved
Privlib

Privlib is a Python software package to manage privacy risk and discrimination in tabular and sequential data. It comprises methods to assess privacy risk (PRUDEnce) and discrimination, anonymize data according to various algorithms and mitigate discrimination. Included in the SoBigData Lab: https://sobigdata.d4science.org/group/sobigdatalab

More info: https://pellungrobe.readthedocs.io/en/latest/

Tags
Data and Resources
To access the resources you must log in
  • Pip webpageurl

    The resource: 'Pip webpage' is not accessible as guest user. You must login to access it!
  • GitHub repositoryurl

    The resource: 'GitHub repository' is not accessible as guest user. You must login to access it!
  • Library filesZIP

    The resource: 'Library files' is not accessible as guest user. You must login to access it!
Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
AccessibilityMode OnLine Access
Availability On-Line
Basic rights Making available to the public
Basic rights Communication
Basic rights Modification
Basic rights Distribution
Basic rights Copying
Basic rights Download
CreationDate 2023-05-31
Creator Pellungrini, Roberto, roberto.pellungrini@sns.it, orcid.org/0000-0003-3268-9271
Documentation https://pellungrobe.readthedocs.io/en/latest/
Field/Scope of use Any use
GitHub Repository https://github.com/pellungrobe/sbdprivacylib
Group Ethics and Legality
Owner Pellungrini, Roberto, roberto.pellungrini@sns.it, orcid.org/0000-0003-3268-9271
ProgrammingLanguage python
Sublicense rights No
Territory of use World Wide
Thematic Cluster Privacy Enhancing Technology [PET]
system:type Method
Management Info
Field Value
Author Pellungrini Roberto
Maintainer Roberto Pellungrini
Version 1
Last Updated 12 April 2024, 10:25 (CEST)
Created 8 June 2023, 12:43 (CEST)