- main(String[]) - Static method in class bham.leakiest.TestInfoLeak
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The main method of LeakiEst, a tool for estimating information leakage of systems.
- maxIndex(double[]) - Static method in class bham.leakiest.Stats
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Returns an index that takes the maximum element in the array.
- maxIndex(int[]) - Static method in class bham.leakiest.Stats
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Returns an index that takes the maximum element in the array.
- maxIndex(ArrayList<Integer>) - Static method in class bham.leakiest.Stats
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Returns an index that takes the maximum element in the array list.
- mean(double[]) - Static method in class bham.leakiest.infotheory.InfoTheory
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This method returns the mean of given data.
- median(double[]) - Static method in class bham.leakiest.infotheory.InfoTheory
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This method returns the median of given data.
- minCapacity(Channel) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the min-capacity of a channel.
- minConditionalEntropyConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the confidence interval of the estimated conditional min-entropy
using the Chi-square test when the input distribution is also estimated.
- minConditionalEntropyLowerBoundConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the lower bound of the confidence interval of
the estimated conditional min-entropy using the Chi-square
test when the input distribution is also estimated.
- minConditionalEntropyUpperBoundConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the upper bound of the confidence interval of
the estimated conditional min-entropy using the Chi-square
test when the input distribution is also estimated.
- MinEntropy - Class in bham.leakiest.infotheory
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This is a library of useful information theory definitions related
to min-entropy-based information measure.
- MinEntropy() - Constructor for class bham.leakiest.infotheory.MinEntropy
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- minEntropy(ProbDist) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the min-entropy of a probability distribution.
- minEntropyLeak(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the min-entropy leakage from a channel
given an input probability distribution pd.
- minEntropyLeakConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the confidence interval of the estimated min-entropy leakage
using the Chi-square test when the input distribution is also estimated.
- minEntropyLeakConfidenceIntervalVajda(double[], double[][], int, int[], int) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the lower bound of the confidence interval of
the estimated min-entropy leakage using information-theoretic
bounds presetend in [Vajda'02] & [Dutta, Goswami'10].
- minEntropyLeakLowerBoundConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
-
Calculates the lower bound of the confidence interval of
the estimated min-entropy leakage using the Chi-square test
when the input distribution is also estimated.
- minEntropyLeakUpperBoundConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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Calculates the upper bound of the confidence interval of
the estimated min-entropy leakage using the Chi-square test
when the input distribution is also estimated.
- MInf(ProbDist, int) - Static method in class bham.leakiest.CompositionalEstimate
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Returns MInf defined in our compositionality paper.
- minIndex(double[]) - Static method in class bham.leakiest.Stats
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Returns an index that takes the minimum element in the array.
- minIndex(int[]) - Static method in class bham.leakiest.Stats
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Returns an index that takes the minimum element in the array.
- minIndex(ArrayList<Integer>) - Static method in class bham.leakiest.Stats
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Returns an index that takes the minimum element in the array list.
- MIuniformInput(double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
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Calculates the mutual information given an uniform input distribution.
- mutualInformation(double[], double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
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Calculates mutual information between
an input PMF and a channel matrix.
- mutualInformation(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.ShannonEntropy
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Calculates mutual information between
an input PMF and a channel matrix.