A B C D E G I L M N P R S T U V
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A

addEntries(Collection<Double>) - Method in class com.google.privacy.differentialprivacy.BoundedMean

Clamps the input values and adds them to the mean.

addEntries(Collection<Double>) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles

Clamps the input values and adds them to the distribution.

addEntries(Collection<Double>) - Method in class com.google.privacy.differentialprivacy.BoundedSum

Clamps the input values and adds them to the sum.

addEntry(double) - Method in class com.google.privacy.differentialprivacy.BoundedMean

Clamps the input value and adds it to the mean.

addEntry(double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles

Clamps the input value and adds it to the distribution.

addEntry(double) - Method in class com.google.privacy.differentialprivacy.BoundedSum

Clamps the input value and adds it to the sum.

addNoise(double, double, double, Double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

See LaplaceNoise.addNoise(double, int, double, double, Double).

addNoise(double, int, double, double, Double) - Method in class com.google.privacy.differentialprivacy.GaussianNoise

Adds Gaussian noise to x such that the output is (epsilon, delta)-differentially private, with respect to the specified L_0 and L_inf sensitivities.

addNoise(double, int, double, double, Double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

Adds Laplace noise to x such that the output is epsilon-differentially private, with respect to the specified L_0 and L_inf sensitivities.

addNoise(double, int, double, double, Double) - Method in interface com.google.privacy.differentialprivacy.Noise

addNoise(long, int, long, double, Double) - Method in class com.google.privacy.differentialprivacy.GaussianNoise

Adds Gaussian noise to the integer x such that the output is (epsilon, delta)-differentially private, with respect to the specified L_0 and L_inf sensitivities.

addNoise(long, int, long, double, Double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

Adds Laplace noise to the integer x such that the output is epsilon-differentially private, with respect to the specified L_0 and L_inf sensitivities.

addNoise(long, int, long, double, Double) - Method in interface com.google.privacy.differentialprivacy.Noise

addNoise(long, long, double, Double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

See LaplaceNoise.addNoise(long, int, long, double, Double).

AggregationState - Enum in com.google.privacy.differentialprivacy

Represents the state of the aggregation.

B

BoundedMean - Class in com.google.privacy.differentialprivacy

Calculates differentially private average for a collection of values.

BoundedMean.Params - Class in com.google.privacy.differentialprivacy

BoundedMean.Params.Builder - Class in com.google.privacy.differentialprivacy

BoundedQuantiles - Class in com.google.privacy.differentialprivacy

Calculates differentially private quantiles for a collection of values using a quantile tree mechanism.

BoundedQuantiles.Params - Class in com.google.privacy.differentialprivacy

BoundedQuantiles.Params.Builder - Class in com.google.privacy.differentialprivacy

BoundedSum - Class in com.google.privacy.differentialprivacy

Calculates a differentially private sum for a collection of values using the Laplace or Gaussian mechanism.

BoundedSum.Params - Class in com.google.privacy.differentialprivacy

BoundedSum.Params.Builder - Class in com.google.privacy.differentialprivacy

branchingFactor(int) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

The number of children for every non-leaf node of the quantile tree used to store the entries.

build() - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

build() - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

build() - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

build() - Method in class com.google.privacy.differentialprivacy.Count.Params.Builder

builder() - Static method in class com.google.privacy.differentialprivacy.BoundedMean

builder() - Static method in class com.google.privacy.differentialprivacy.BoundedQuantiles

builder() - Static method in class com.google.privacy.differentialprivacy.BoundedSum

builder() - Static method in class com.google.privacy.differentialprivacy.Count

Builder() - Constructor for class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Builder() - Constructor for class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Builder() - Constructor for class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Builder() - Constructor for class com.google.privacy.differentialprivacy.Count.Params.Builder

C

com.google.privacy.differentialprivacy - package com.google.privacy.differentialprivacy

computeConfidenceInterval(double) - Method in class com.google.privacy.differentialprivacy.BoundedMean

Computes a confidence interval that contains the true mean with a probability greater or equal to 1 - alpha.

computeConfidenceInterval(double) - Method in class com.google.privacy.differentialprivacy.BoundedSum

Computes a confidence interval that contains the true BoundedSum with a probability greater or equal to 1 - alpha using the noised BoundedSum computed by computeResult().

computeConfidenceInterval(double) - Method in class com.google.privacy.differentialprivacy.Count

Computes a ConfidenceInterval with integer bounds that contains the true Count with a probability greater or equal to 1 - alpha using the noised Count computed by computeResult().

computeConfidenceInterval(double, int, double, double, Double, double) - Method in class com.google.privacy.differentialprivacy.GaussianNoise

Computes a confidence interval that contains the raw value x passed to GaussianNoise.addNoise(double, int, double, double, Double) with a probability equal to 1 - alpha based on the specified noisedX and noise parameters.

computeConfidenceInterval(double, int, double, double, Double, double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

Computes a confidence interval that contains the raw value x passed to LaplaceNoise.addNoise(double, int, double, double, Double) with a probability equal to 1 - alpha based on the specified noisedX and noise parameters.

computeConfidenceInterval(double, int, double, double, Double, double) - Method in interface com.google.privacy.differentialprivacy.Noise

computeConfidenceInterval(long, int, long, double, Double, double) - Method in class com.google.privacy.differentialprivacy.GaussianNoise

Computes a confidence interval that contains the raw integer value x passed to GaussianNoise.addNoise(long, int, long, double, Double) with a probability greater or equal to 1 - alpha based on the specified noisedX and noise parameters.

computeConfidenceInterval(long, int, long, double, Double, double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

Computes a confidence interval that contains the raw integer value x passed to LaplaceNoise.addNoise(long, int, long, double, Double) with a probability greater or equal to 1 - alpha based on the specified noisedX and noise parameters.

computeConfidenceInterval(long, int, long, double, Double, double) - Method in interface com.google.privacy.differentialprivacy.Noise

computeQuantile(double, double, int, double, double, Double) - Method in class com.google.privacy.differentialprivacy.GaussianNoise

Computes the quantile z satisfying Pr[Y <= z] = rank for a Gaussian random variable Y with mean x and variance according to the specified privacy parameters.

computeQuantile(double, double, int, double, double, Double) - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

Computes the quantile z satisfying Pr[Y <= z] = rank for a Laplace random variable Y with mean x and variance according to the specified privacy parameters.

computeQuantile(double, double, int, double, double, Double) - Method in interface com.google.privacy.differentialprivacy.Noise

Calculates a value k s.t.

computeResult() - Method in class com.google.privacy.differentialprivacy.BoundedMean

Calculates and returns differentially private average of elements added using BoundedMean.addEntry(double) and BoundedMean.addEntries(java.util.Collection<java.lang.Double>).

computeResult() - Method in class com.google.privacy.differentialprivacy.BoundedSum

Computes and returns a differentially private sum of the elements added via BoundedSum.addEntry(double) and BoundedSum.addEntries(java.util.Collection<java.lang.Double>).

computeResult() - Method in class com.google.privacy.differentialprivacy.Count

Calculates and returns a differentially private count of elements added using Count.increment() and Count.incrementBy(long).

computeResult(double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles

Calculates and returns a differentially private quantile of the values added via BoundedQuantiles.addEntry(double) and BoundedQuantiles.addEntries(java.util.Collection<java.lang.Double>).

computeThresholdedResult(double) - Method in class com.google.privacy.differentialprivacy.Count

Returns either of Count.computeResult() or Optional.empty().

ConfidenceInterval - Class in com.google.privacy.differentialprivacy

Stores the upper and lower bounds of a confidence interval.

ConfidenceInterval() - Constructor for class com.google.privacy.differentialprivacy.ConfidenceInterval

Count - Class in com.google.privacy.differentialprivacy

Calculates a differentially private count for a collection of values using the Laplace or Gaussian mechanism.

Count.Params - Class in com.google.privacy.differentialprivacy

Count.Params.Builder - Class in com.google.privacy.differentialprivacy

create(double, double) - Static method in class com.google.privacy.differentialprivacy.ConfidenceInterval

D

DEFAULT - com.google.privacy.differentialprivacy.AggregationState

Object hasn't been serialized and computeResult() hasn't been called.

DEFAULT_BRANCHING_FACTOR - Static variable in class com.google.privacy.differentialprivacy.BoundedQuantiles

DEFAULT_TREE_HEIGHT - Static variable in class com.google.privacy.differentialprivacy.BoundedQuantiles

delta(Double) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Delta DP parameter.

delta(Double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Delta DP parameter.

delta(Double) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Delta DP parameter.

delta(Double) - Method in class com.google.privacy.differentialprivacy.Count.Params.Builder

Delta DP parameter.

DpPreconditions - Class in com.google.privacy.differentialprivacy

Utilities which validate the correctness of DP parameters.

E

epsilon(double) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Epsilon DP parameter.

epsilon(double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Epsilon DP parameter.

epsilon(double) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Epsilon DP parameter.

epsilon(double) - Method in class com.google.privacy.differentialprivacy.Count.Params.Builder

Epsilon DP parameter.

G

GaussianNoise - Class in com.google.privacy.differentialprivacy

Generates and adds Gaussian noise to a raw piece of numerical data such that the result is securely differentially private.

GaussianNoise() - Constructor for class com.google.privacy.differentialprivacy.GaussianNoise

Returns a Noise instance initialized with a secure randomness source.

getErrorMessage() - Method in enum com.google.privacy.differentialprivacy.AggregationState

getL1Sensitivity(int, double) - Static method in interface com.google.privacy.differentialprivacy.Noise

getL2Sensitivity(int, double) - Static method in interface com.google.privacy.differentialprivacy.Noise

getMechanismType() - Method in class com.google.privacy.differentialprivacy.GaussianNoise

getMechanismType() - Method in class com.google.privacy.differentialprivacy.LaplaceNoise

getMechanismType() - Method in interface com.google.privacy.differentialprivacy.Noise

getSerializableSummary() - Method in class com.google.privacy.differentialprivacy.BoundedMean

Returns a serializable summary of the current state of this BoundedMean instance and its parameters.

getSerializableSummary() - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles

Returns a serializable summary of the current state of this BoundedQuantiles instance and its parameters.

getSerializableSummary() - Method in class com.google.privacy.differentialprivacy.BoundedSum

Returns a serializable summary of the current state of this BoundedSum instance and its parameters.

getSerializableSummary() - Method in class com.google.privacy.differentialprivacy.Count

Returns a serializable summary of the current state of this Count instance and its parameters.

I

increment() - Method in class com.google.privacy.differentialprivacy.Count

Increments count by one.

incrementBy(long) - Method in class com.google.privacy.differentialprivacy.Count

Increments count by the given value.

L

LaplaceNoise - Class in com.google.privacy.differentialprivacy

Generates and adds Laplace noise to a raw piece of numerical data such that the result is securely differentially private.

LaplaceNoise() - Constructor for class com.google.privacy.differentialprivacy.LaplaceNoise

Returns a Noise instance initialized with a secure randomness source.

lower(double) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Lower bound for the entries added to the mean.

lower(double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Lower bound for the entries added to the distribution.

lower(double) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Lower bound for the entries added to the sum.

lowerBound() - Method in class com.google.privacy.differentialprivacy.ConfidenceInterval

M

maxContributionsPerPartition(int) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Max contributions per partition from a single privacy unit (e.g., an individual).

maxContributionsPerPartition(int) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Max contributions per partition from a single privacy unit (e.g., an individual).

maxPartitionsContributed(int) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Maximum number of partitions that a single privacy unit (e.g., an individual) is allowed to contribute to.

maxPartitionsContributed(int) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Maximum number of partitions that a single privacy unit (e.g., an individual) is allowed to contribute to.

maxPartitionsContributed(int) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Maximum number of partitions to which a single privacy unit (i.e., an individual) is allowed to contribute.

maxPartitionsContributed(int) - Method in class com.google.privacy.differentialprivacy.Count.Params.Builder

Maximum number of partitions to which a single privacy unit (i.e., an individual) is allowed to contribute.

mergeWith(byte[]) - Method in class com.google.privacy.differentialprivacy.BoundedMean

Merges the output of BoundedMean.getSerializableSummary() from a different instance of BoundedMean with this instance.

mergeWith(byte[]) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles

Merges the output of BoundedQuantiles.getSerializableSummary() from a different instance of BoundedQuantiles with this instance.

mergeWith(byte[]) - Method in class com.google.privacy.differentialprivacy.BoundedSum

Merges the output of BoundedSum.getSerializableSummary() from a different instance of BoundedSum with this instance.

mergeWith(byte[]) - Method in class com.google.privacy.differentialprivacy.Count

Merges the output of Count.getSerializableSummary() from a different instance of Count with this instance.

N

noise(Noise) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Noise that will be used to make the mean differentially private.

noise(Noise) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Noise that will be used to make the quantiles differentially private.

noise(Noise) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Distribution from which the noise will be generated and added to the sum.

noise(Noise) - Method in class com.google.privacy.differentialprivacy.Count.Params.Builder

Distribution from which the noise will be generated and added to the count.

Noise - Interface in com.google.privacy.differentialprivacy

Interface for primitives that add noise to numerical data, for use in differential privacy operations.

NUMERICAL_TOLERANCE - Static variable in class com.google.privacy.differentialprivacy.BoundedQuantiles

P

Params() - Constructor for class com.google.privacy.differentialprivacy.BoundedMean.Params

Params() - Constructor for class com.google.privacy.differentialprivacy.BoundedQuantiles.Params

Params() - Constructor for class com.google.privacy.differentialprivacy.BoundedSum.Params

Params() - Constructor for class com.google.privacy.differentialprivacy.Count.Params

R

RESULT_RETURNED - com.google.privacy.differentialprivacy.AggregationState

computeResult() was called.

S

SERIALIZED - com.google.privacy.differentialprivacy.AggregationState

Object has been serialized.

T

treeHeight(int) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

The height of the quantile tree used to store the entries.

U

upper(double) - Method in class com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Upper bound for the entries added to the mean.

upper(double) - Method in class com.google.privacy.differentialprivacy.BoundedQuantiles.Params.Builder

Upper bound for the entries added to the distribution.

upper(double) - Method in class com.google.privacy.differentialprivacy.BoundedSum.Params.Builder

Upper bound for the entries added to the sum.

upperBound() - Method in class com.google.privacy.differentialprivacy.ConfidenceInterval

V

valueOf(String) - Static method in enum com.google.privacy.differentialprivacy.AggregationState

Returns the enum constant of this type with the specified name.

values() - Static method in enum com.google.privacy.differentialprivacy.AggregationState

Returns an array containing the constants of this enum type, in the order they are declared.

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