ARX 3.4.1

Bugfix: Fix CSV and Excel import

ARX 3.4.0

New features

• Core: Implement sane method for analyzing classification accuracy
• Core: Implement methods for analyzing the distribution of re-identification risks
• Core: Implement new privacy model: estimated k-map
• Core: Implement generalization/suppression factor for AECS quality model
• Core: Implement generalization/suppression factor for Non-Uniform Entropy quality model
• GUI: Implement view for analyzing precision and recall of a statistical classifier
• GUI: Implement method for top/bottom coding
• GUI: Implement views for analyzing the distribution of re-identification risks

Enhancements

• Core: Make suppression string a constant
• Core: Improve implementation of entropy-l-diversity
• GUI: Improve views for analyzing classification accuracy
• GUI: Show whether the currect solution is a global optimum
• GUI: Automatically add transformations of interest to the clipboard
• GUI: Use MySQL connector licensed with Oracle FOSS license
• Tests: Redesign path structure for loading data
• Tests: Add test cases for anonymization with data subsets
• Tests: Add test cases for risk-based anonymization
• Tests: Add test cases for local recoding

Bugfixes

• Core: Do not use suppressed records when estimating risks
• Core: Fix resource leak when loading data
• GUI: Handle differential privacy correctly
• GUI: Fix error when reading/writing projects with empty hierarchies
• GUI: Correctly show tooltips
• GUI: Allow using quasi-identifiers with no hierarchy assigned
• GUI: Fix errors with backwards compatibility
• Tests: Make differential privacy deterministic

ARX 3.3.1

New Features:

• Implemented derived risk metrics, including measures for prosecutor, journalist and marketer risk.
• Implemented new perspective in the GUI for analyzing these risks.
• Implemented methods for analyzing data mining utility with logistic regression.
• Implemented new perspective in the GUI for analyzing classification accuracy.
• Implemented new privacy model k-map.
• Implemented new privacy model d-disclosure privacy.

Enhancements:

• Improved visualization of percentages in the GUI.
• Improved export of data from tables in CSV format.
• Improved utilization of the clipboard in the GUI.
• Updates some labels and messages.
• Improved help with new content.
• Improved detection of HIPAA identifiers. It now displays the confidence.
• Improved editing of population parameters.
• Improved configuration of parameters of privacy models.
• Improved multi-threading in the utility analysis perspective.
• Improved process of solving equation systems for the Pitman model.
• Improved rendering of numbers in the whole GUI.
• Improved performance of hashing. Partial unrolling.
• Various minor improvements.

Bugfixes:

• Fixed utility measurement when using differential privacy.
• Fixed file-handling, check if files exist.
• Fixed a bug with backwards compatibility.
• Fixed calculation of geometric mean in summary statistics.
• Fixed calculation of geometric mean in micro-aggregation.
• Various minor fixes.

ARX 3.3.0

• Added method for local recoding with k-anonymity, l-diversity and t-closeness
• Added example project file with high-dimensional data
• Added methods for detecting HIPAA identifiers
• Added implementation of (e,d)-differential privacy
• Added utility measures KL divergence and Ambiguity
• Improved performance of maintaining the solution space
• Implemented critical bugfix to ensure correct classification of the solution space
• Added various minor bugfixes and improvements

ARX 3.2.1

Bugfix release:

• Fix risk-based anonymization and analysis
• Fix normalized entropy measure

ARX 3.2.0

• Added support for anonymizing high-dimensional datasets
• Changed GUI to support high-dimensional datasets
• Added new utility measures: normalized non-uniform entropy and ambiguity
• Implemented implicit representation of the solution space: ~10% performance improvement and significant reduction of memory requirements
• Fixed multiple resource leaks
• Fixed ~10% performance regression introduced in version 3.1.0
• Various other small improvements and bug fixes

ARX 3.1.0

• Implement microaggregation as a new coding model
• Add support for Oracle DB
• Fix bug in statistics when used with subsets
• Fix some resource leaks
• Various other small improvements and bug fixes

ARX v3.0.0

• Implemented methods for analyzing re-identification risks (sample uniqueness, average class size, population uniqueness according to different super-population models)
• Implemented methods for risk-based anonymization (sample uniqueness, average class size, population uniqueness according to different super-population models)
• Improved reading and writing of CSV files
• Implemented auto-detection of data types
• Implemented methods for data cleansing
• Improved handling of missing values ("null" values)
• Implemented new visualizations of the solution space
• Improved query builder
• Fixed (non-critical) bug in d-presence model. Solution might not have been optimal.
• Various small improvements and bug fixes

ARX 2.3.2

• Bugfix: handle zeros correctly in computing the geometric mean for relative
  comparisons
• Change license to Apache License, Version 2.0

ARX 2.3.1

• Various bugfixes
• Performance improvements