lbcrypto::DiscreteGaussianGeneratorImpl< VecType > Class Template Reference

The class for Discrete Gaussion Distribution generator. More...

#include <discretegaussiangenerator.h>

Inheritance diagram for lbcrypto::DiscreteGaussianGeneratorImpl< VecType >:

Collaboration diagram for lbcrypto::DiscreteGaussianGeneratorImpl< VecType >:

Public Member Functions
	DiscreteGaussianGeneratorImpl (double std=1)
	Basic constructor for specifying distribution parameter and modulus. More...
	~DiscreteGaussianGeneratorImpl ()
	Destructor.
void	Initialize ()
	Initializes the generator.
double	GetStd () const
	Returns the standard deviation of the generator. More...
void	SetStd (double std)
	Sets the standard deviation of the generator. More...
int32_t	GenerateInt () const
	Returns a generated signed integer. Uses Peikert's Inversion Method. More...
std::shared_ptr< int64_t >	GenerateIntVector (usint size) const
	Returns a generated integer vector. Uses Peikert's inversion method. More...
VecType::Integer	GenerateInteger (const typename VecType::Integer &modulus) const
	Returns a generated integer. Uses Peikert's inversion method. More...
VecType	GenerateVector (usint size, const typename VecType::Integer &modulus) const
	Generates a vector of random values within this Discrete Gaussian Distribution. Uses Peikert's inversion method. More...
VecType::Integer	GenerateInteger (double mean, double stddev, size_t n, const typename VecType::Integer &modulus) const
	Returns a generated integer. Uses rejection method. More...
int32_t	GenerateInteger (double mean, double stddev, size_t n) const
	Returns a generated integer. Uses rejection method. More...

Static Public Member Functions
static int64_t	GenerateIntegerKarney (double mean, double stddev)
	Returns a generated integer (int32_t). Uses rejection method. More...

Detailed Description

template<typename VecType>
class lbcrypto::DiscreteGaussianGeneratorImpl< VecType >

The class for Discrete Gaussion Distribution generator.

Constructor & Destructor Documentation

DiscreteGaussianGeneratorImpl()

template<typename VecType >

lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::DiscreteGaussianGeneratorImpl ( double  std = 1 )

explicit

Basic constructor for specifying distribution parameter and modulus.

Parameters

modulus	The modulus to use to generate discrete values.
std	The standard deviation for this Gaussian Distribution.

Member Function Documentation

GenerateInt()

template<typename VecType >

int32_t lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateInt

(

)

const

Returns a generated signed integer. Uses Peikert's Inversion Method.

Returns

a value generated with the distribution.

GenerateInteger() [1/3]

template<typename VecType>

VecType::Integer lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateInteger

(

const typename VecType::Integer &

modulus

)

const

Returns a generated integer. Uses Peikert's inversion method.

Returns

A random value within this Discrete Gaussian Distribution.

GenerateInteger() [2/3]

template<typename VecType>

VecType::Integer lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateInteger	(	double	mean,
		double	stddev,
		size_t	n,
		const typename VecType::Integer &	modulus
	)		const

Returns a generated integer. Uses rejection method.

Parameters

mean	center of discrete Gaussian distribution.
stddev	standard deviatin of discrete Gaussian distribution.
n	is ring dimension param modulus modulus

Returns

A random value within this Discrete Gaussian Distribution.

GenerateInteger() [3/3]

template<typename VecType>

int32_t lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateInteger	(	double	mean,
		double	stddev,
		size_t	n
	)		const

Returns a generated integer. Uses rejection method.

Parameters

mean	center of discrete Gaussian distribution.
stddev	standard deviatin of discrete Gaussian distribution.
n	is ring dimension

Returns

A random value within this Discrete Gaussian Distribution.

GenerateIntegerKarney()

template<typename VecType >

int64_t lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateIntegerKarney ( double  mean, double  stddev  )

static

Returns a generated integer (int32_t). Uses rejection method.

Parameters

mean	center of discrecte Gaussian distribution.
stddev	standard deviatin of discrete Gaussian distribution.

Returns

A random value within this Discrete Gaussian Distribution. Returns a generated integer. Uses Karney's method defined as Algorithm D in https://arxiv.org/pdf/1303.6257.pdf

Parameters

mean	center of discrecte Gaussian distribution.
stddev	standard deviation of discrete Gaussian distribution.

Returns

A random value within this Discrete Gaussian Distribution.

GenerateIntVector()

template<typename VecType >

std::shared_ptr< int64_t > lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateIntVector

(

usint

size

)

const

Returns a generated integer vector. Uses Peikert's inversion method.

Parameters

size	The number of values to return.

Returns

A pointer to an array of integer values generated with the distribution.

GenerateVector()

template<typename VecType>

VecType lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GenerateVector	(	usint	size,
		const typename VecType::Integer &	modulus
	)		const

Generates a vector of random values within this Discrete Gaussian Distribution. Uses Peikert's inversion method.

Parameters

size	The number of values to return.
modulus	modulus of the polynomial ring.

Returns

The vector of values within this Discrete Gaussian Distribution.

GetStd()

template<typename VecType >

double lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::GetStd

(

)

const

Returns the standard deviation of the generator.

Returns

The analytically obtained standard deviation of the generator.

SetStd()

template<typename VecType >

void lbcrypto::DiscreteGaussianGeneratorImpl< VecType >::SetStd

(

double

std

)

Sets the standard deviation of the generator.

Parameters

std	The analytic standard deviation of the generator.

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The documentation for this class was generated from the following files:

• src/core/include/math/discretegaussiangenerator.h
• src/core/lib/math/discretegaussiangenerator.cpp