From 1a74e8f2fa7c5225541d3bb6b3a7b08cf488451a Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 20 Jun 2023 08:26:11 +0000 Subject: automatic import of python-privugger --- .gitignore | 1 + python-privugger.spec | 222 ++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 224 insertions(+) create mode 100644 python-privugger.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..ab7a7a9 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/privugger-0.0.10.tar.gz diff --git a/python-privugger.spec b/python-privugger.spec new file mode 100644 index 0000000..e818e71 --- /dev/null +++ b/python-privugger.spec @@ -0,0 +1,222 @@ +%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 - 0.0.10-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..337a765 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +999613ad9119041df9124745a4b3c029 privugger-0.0.10.tar.gz -- cgit v1.2.3