v1.0.2

Patch Update

Bug Fixes

• Fix a formatting error in the CLI with the --help command.

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v1.0.1

Patch update

• Fix another bug with the version warning

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v1.0.0

Bug Fixes

• Fix version warnings

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v1.0.0rc

Bug Fixes

• Security Fix with commit 46f3363. With the diff and enc modules, parameters were stored in python memory, and never removed. This commit deletes these parameters and helps prevent attackers from gaining access to these parameters, which can help them gain access to the original text and/or data.

New Features

None.

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v1.0.0-beta pre release

Bug Fixes

• Fix version error
• Fix a CLI error
• Fix a circular import error

New Features

• Add a --docs command to view the documentation for DiffPriv
• Add a --changelog command to view the changelog

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v1.0.0-alpha pre release

The first beta release of the first version of diffpriv. Includes:

• Differential Privacy
  • Laplace Mechanism
  • Exponential Mechanism
  • Random Response
• Encryption Schemes
  • ROT13 Cipher (a letter for letter substitution cipher)
  • Reverse Cipher
  • Porta Cipher

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v0.1.1

New Functions

v0.1.1 now includes the exponential mechanism. you can view how to use it in the README.md.

Fixes

None

Collaborators

@quantum9Innovation @Quantalabs

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v0.0.2

New Functions

Added the new Laplace Mechanism. A new method which allows for much more capability. This allows you to import .csv files and deferentially privatize the data and keep the original data too. It will create a new file for the deferentially privatized data. It also allows for any float value instead of just 0 or 1 like it is with random response. But here are all the advantages of the Laplace Mechanism function in DiffPriv.

:+1:
More Flexibility in your data and values
Allows for .csv files to be used
Allows for both datasets to be kept (the original and privatized data)
Flexibility on how privatized your data can be and how much it can be altered by using the epsilon parameter

Fixes

None

Uploading from PyPI

 python3 -m pip install DiffPriv==0.0.2

Collaborators

• @quantum9Innovation
• @Quantalabs

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v0.0.1

This version only includes one function 😞. The function is random. It runs the random response mechanism.

 random(response_list)

v0.0.2 might include:

• Random Response
• Laplace Mechanism
• Exponential Mechanism