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Privacy Software Analysis Project


Experienced Java developer with statistics and/or data privacy background to review and analyze one or more open source projects in the data privacy space and write reports on the functionality of those projects.



privacy Location: Telecommute

Consulting Project (short term that could lead to an ongoing project)

We are looking for an experienced (3+ years) Java developer to review and analyze one or more open source projects in the data privacy space and write reports on the functionality of those projects. We would especially like to hear from developers with statistics and/or data privacy backgrounds.

The first open source project to analyze is:

ARX - Open Source Data Anonymization Software https://github.com/arx-deidentifier/arx

We would like to know how it implements k-anonymity, l-diversity, t-closeness, δ-presence, (ε, δ)-differential privacy, and re-identification risk analysis.

Your report will include an English-language analysis (i.e. without including source code - but referencing source code if applicable) and a high-level summary of each feature. The report will also discuss how those features may be implemented in a new, independent code library.

Further open source project analysis work will follow the same pattern: deep dive on each feature, create a high-level summary, and then discuss re-implementation. Each report may be in a Word document or a Markdown-formatted text file.

_Contact_:
Send us an email with your details to apply@urban-labs.com.

We look forward to hearing from you!