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%global _empty_manifest_terminate_build 0
Name: python-privugger
Version: 0.0.10
Release: 1
Summary: Privacy risk analysis library for Python programs.
License: Apache license
URL: https://github.com/itu-square/privugger
Source0: https://mirrors.aliyun.com/pypi/web/packages/08/59/d922753ec0e028aa47d45d8f6ec06d1defee632778ad9bb237175e99c3b4/privugger-0.0.10.tar.gz
BuildArch: noarch
%description
# Privugger: Data Privacy Debugger
Docs and tutorials: https://itu-square.github.io/privugger/
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(...)`
%package -n python3-privugger
Summary: Privacy risk analysis library for Python programs.
Provides: python-privugger
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-privugger
# Privugger: Data Privacy Debugger
Docs and tutorials: https://itu-square.github.io/privugger/
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(...)`
%package help
Summary: Development documents and examples for privugger
Provides: python3-privugger-doc
%description help
# Privugger: Data Privacy Debugger
Docs and tutorials: https://itu-square.github.io/privugger/
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(...)`
%prep
%autosetup -n privugger-0.0.10
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-privugger -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.10-1
- Package Spec generated
|
