Metadata-Version: 2.1
Name: privugger
Version: 0.0.7
Summary: Privacy risk analysis library for Python programs.
Home-page: https://github.com/itu-square/privugger
Author: Privugger developers
Author-email: raup@itu.dk
License: Apache license
Description: # Privugger: Data Privacy Debugger
        
        Privugger (/prɪvʌɡə(r)/) is a privacy risk analysis library for python
        programs.  Privugger, takes as input a python program and a
        specification of the adversary's knowledge about the input of the
        program (the _prior knowledge_), and it returns a wide variety of
        privacy risk analyses, including the following leakage measures:
        
        * Knowledge-based probability queries
        * Entropy
        * Mutual Information
        * KL-divergence
        * min-entropy
        * Bayes risk
        * ...
        
        Furthermore, Privugger is equipped with a module to perform _automatic
        attacker synthesis_. That is, given a program and a leakage measure,
        it finds the adversary's prior knowledge that maximizes the
        leakage. In other words, it tells us what is the minimum amount of
        information that the adversary must know in order for the program to
        exhibit privacy risks. If this knowledge is publicly available, then
        the program does not effectively protect users' privacy.
        
        
        
        ## Installation 
        
        Privugger is a tool written entirely in Python and can be installed using the pip packet manager.
        
        To install write following in command line: 
        
        `pip install privugger`
        
        Usage:
        
        `import privugger as pv`
        
        `x = pv.Normal(...)`
        
        `ds = pv.Dataset(...)`
        
         `program = pv.Program(...)`
        
        `trace = pv.infer(...)`
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
