Index

A

alpha (privugger.distributions.continuous.Beta attribute)

B

Bernoulli (class in privugger.distributions.discrete) BERNOULLI (privugger.attacker.distributions.Support attribute) Bernoulli() (in module privugger.attacker.generators) Beta (class in privugger.distributions.continuous) BETA (privugger.attacker.distributions.Support attribute) beta (privugger.distributions.continuous.Beta attribute)

Beta() (in module privugger.attacker.generators) BETA_BINOMIAL (privugger.attacker.distributions.Support attribute) BetaBinomial() (in module privugger.attacker.generators) Binomial (class in privugger.distributions.discrete) BINOMIAL (privugger.attacker.distributions.Support attribute) Binomial() (in module privugger.attacker.generators)

C

Categorical (class in privugger.distributions.discrete) CAUCHY (privugger.attacker.distributions.Support attribute)

Cauchy() (in module privugger.attacker.generators) Constant (class in privugger.distributions.discrete)

D

DISCRETE_UNIFORM (privugger.attacker.distributions.Support attribute)

DiscreteUniform (class in privugger.distributions.discrete) DiscreteUniform() (in module privugger.attacker.generators)

E

Exponential (class in privugger.distributions.continuous)

EXPONENTIAL (privugger.attacker.distributions.Support attribute) Exponential() (in module privugger.attacker.generators)

F

FloatGenerator() (in module privugger.attacker.generators)

FloatList() (in module privugger.attacker.generators)

G

GAMMA (privugger.attacker.distributions.Support attribute) Gamma() (in module privugger.attacker.generators) Geometric (class in privugger.distributions.discrete) GEOMETRIC (privugger.attacker.distributions.Support attribute) Geometric() (in module privugger.attacker.generators) get_params() (privugger.distributions.continuous.Beta method) (privugger.distributions.continuous.Exponential method) (privugger.distributions.continuous.Normal method) (privugger.distributions.continuous.Uniform method) (privugger.distributions.discrete.Bernoulli method) (privugger.distributions.discrete.Binomial method) (privugger.distributions.discrete.Categorical method) (privugger.distributions.discrete.Constant method) (privugger.distributions.discrete.DiscreteUniform method) (privugger.distributions.discrete.Geometric method)

H

highest_leakage() (privugger.attacker.metrics.SimulationMetrics method)

I

IntGenerator() (in module privugger.attacker.generators) IntList() (in module privugger.attacker.generators) is_hyper_param (privugger.distributions.continuous.Beta attribute) (privugger.distributions.continuous.Exponential attribute) (privugger.distributions.continuous.Normal attribute) (privugger.distributions.continuous.Uniform attribute) (privugger.distributions.discrete.Bernoulli attribute) (privugger.distributions.discrete.Binomial attribute) (privugger.distributions.discrete.Categorical attribute) (privugger.distributions.discrete.Constant attribute) (privugger.distributions.discrete.DiscreteUniform attribute) (privugger.distributions.discrete.Geometric attribute)

L

lam (privugger.distributions.continuous.Exponential attribute) LAPLACE (privugger.attacker.distributions.Support attribute) Laplace() (in module privugger.attacker.generators)

load_from_file() (privugger.attacker.metrics.SimulationMetrics method) lower (privugger.distributions.continuous.Uniform attribute) (privugger.distributions.discrete.DiscreteUniform attribute)

M

mi_sklearn() (in module privugger.measures.mutual_information) MINIMUM_COVERAGE() (in module privugger.attacker.distributions) module privugger privugger.attacker.distributions privugger.attacker.generators privugger.attacker.metrics privugger.data_structures privugger.distributions.continuous privugger.distributions.discrete privugger.inference privugger.measures.mutual_information

mu (privugger.distributions.continuous.Normal attribute) mutual_information() (privugger.attacker.metrics.SimulationMetrics method)

N

n (privugger.distributions.discrete.Binomial attribute) name (privugger.distributions.continuous.Beta attribute) (privugger.distributions.continuous.Exponential attribute) (privugger.distributions.continuous.Normal attribute) (privugger.distributions.continuous.Uniform attribute) (privugger.distributions.discrete.Bernoulli attribute) (privugger.distributions.discrete.Binomial attribute) (privugger.distributions.discrete.Categorical attribute) (privugger.distributions.discrete.Constant attribute) (privugger.distributions.discrete.DiscreteUniform attribute) (privugger.distributions.discrete.Geometric attribute) Normal (class in privugger.distributions.continuous)

NORMAL (privugger.attacker.distributions.Support attribute) Normal() (in module privugger.attacker.generators) num_elements (privugger.distributions.continuous.Beta attribute) (privugger.distributions.continuous.Exponential attribute) (privugger.distributions.continuous.Normal attribute) (privugger.distributions.continuous.Uniform attribute) (privugger.distributions.discrete.Bernoulli attribute) (privugger.distributions.discrete.Binomial attribute) (privugger.distributions.discrete.Categorical attribute) (privugger.distributions.discrete.Constant attribute) (privugger.distributions.discrete.DiscreteUniform attribute) (privugger.distributions.discrete.Geometric attribute)

P

p (privugger.distributions.discrete.Bernoulli attribute) (privugger.distributions.discrete.Binomial attribute) (privugger.distributions.discrete.Categorical attribute) (privugger.distributions.discrete.Geometric attribute) plot_mutual_bar() (privugger.attacker.metrics.SimulationMetrics method) plot_mutual_information() (privugger.attacker.metrics.SimulationMetrics method) POISSON (privugger.attacker.distributions.Support attribute) Poisson() (in module privugger.attacker.generators) privugger module privugger.attacker.distributions module privugger.attacker.generators module privugger.attacker.metrics module privugger.data_structures module

privugger.distributions.continuous module privugger.distributions.discrete module privugger.inference module privugger.measures.mutual_information module pymc3_dist() (privugger.distributions.continuous.Beta method) (privugger.distributions.continuous.Exponential method) (privugger.distributions.continuous.Normal method) (privugger.distributions.continuous.Uniform method) (privugger.distributions.discrete.Bernoulli method) (privugger.distributions.discrete.Binomial method) (privugger.distributions.discrete.Categorical method) (privugger.distributions.discrete.Constant method) (privugger.distributions.discrete.DiscreteUniform method) (privugger.distributions.discrete.Geometric method)

S

save_to_file() (privugger.attacker.metrics.SimulationMetrics method) scipy_dist() (privugger.distributions.continuous.Beta method) (privugger.distributions.continuous.Exponential method) (privugger.distributions.continuous.Normal method) (privugger.distributions.continuous.Uniform method) (privugger.distributions.discrete.Bernoulli method) (privugger.distributions.discrete.Binomial method) (privugger.distributions.discrete.Categorical method) (privugger.distributions.discrete.Constant method) (privugger.distributions.discrete.DiscreteUniform method) (privugger.distributions.discrete.Geometric method)

SimulationMetrics (class in privugger.attacker.metrics) std (privugger.distributions.continuous.Normal attribute) STUDENT_T (privugger.attacker.distributions.Support attribute) StudentT() (in module privugger.attacker.generators) Support (class in privugger.attacker.distributions)

T

TRUNCATED_NORMAL (privugger.attacker.distributions.Support attribute)

TruncatedNormal() (in module privugger.attacker.generators)

U

Uniform (class in privugger.distributions.continuous) UNIFORM (privugger.attacker.distributions.Support attribute)

Uniform() (in module privugger.attacker.generators) upper (privugger.distributions.continuous.Uniform attribute) (privugger.distributions.discrete.DiscreteUniform attribute)

V

val (privugger.distributions.discrete.Constant attribute)