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M

main(String[]) - Static method in class bham.leakiest.TestInfoLeak
The main method of LeakiEst, a tool for estimating information leakage of systems.
maxIndex(double[]) - Static method in class bham.leakiest.Stats
Returns an index that takes the maximum element in the array.
maxIndex(int[]) - Static method in class bham.leakiest.Stats
Returns an index that takes the maximum element in the array.
maxIndex(ArrayList<Integer>) - Static method in class bham.leakiest.Stats
Returns an index that takes the maximum element in the array list.
mean(double[]) - Static method in class bham.leakiest.infotheory.InfoTheory
This method returns the mean of given data.
median(double[]) - Static method in class bham.leakiest.infotheory.InfoTheory
This method returns the median of given data.
minCapacity(Channel) - Static method in class bham.leakiest.infotheory.MinEntropy
Calculates the min-capacity of a channel.
minConditionalEntropyConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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
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
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
This is a library of useful information theory definitions related to min-entropy-based information measure.
MinEntropy() - Constructor for class bham.leakiest.infotheory.MinEntropy
 
minEntropy(ProbDist) - Static method in class bham.leakiest.infotheory.MinEntropy
Calculates the min-entropy of a probability distribution.
minEntropyLeak(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.MinEntropy
Calculates the min-entropy leakage from a channel given an input probability distribution pd.
minEntropyLeakConfidenceIntervalChiSquare(Observations) - Static method in class bham.leakiest.infotheory.MinEntropy
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
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
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
Returns MInf defined in our compositionality paper.
minIndex(double[]) - Static method in class bham.leakiest.Stats
Returns an index that takes the minimum element in the array.
minIndex(int[]) - Static method in class bham.leakiest.Stats
Returns an index that takes the minimum element in the array.
minIndex(ArrayList<Integer>) - Static method in class bham.leakiest.Stats
Returns an index that takes the minimum element in the array list.
MIuniformInput(double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates the mutual information given an uniform input distribution.
mutualInformation(double[], double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates mutual information between an input PMF and a channel matrix.
mutualInformation(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates mutual information between an input PMF and a channel matrix.
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