SecML
v0.9
User Guide
1. Training of Classifiers and Visualization of Results
2. Evasion Attacks against Machine Learning models
3. Transferability of Evasion Attacks
4. Poisoning Attacks against Machine Learning models
5. Evasion and Poisoning Attacks on MNIST dataset
6. Neural Networks with PyTorch
7. Evasion Attacks against Neural Networks on MNIST dataset
8. Evasion Attacks on ImageNet dataset
Core & Data Structures
secml.core
CCreator
attr_utils
constants
decorators
exceptions
type_utils
secml.array
CArray
array_utils
secml.data
secml.data.loader
CDataLoader
CDataLoaderCIFAR
CDataLoaderICubWorld
CDataLoaderImgClients
CDataLoaderImgFolders
CDataLoaderLFW
CDataLoaderMNIST
CDataLoaderPyTorch
CDataLoaderSkLearn
CDataLoaderSvmLight
loader_utils
secml.data.selection
CPrototypesSelector
CPSBorder
CPSCenter
CPSKMedians
CPSRandom
CPSSpanning
secml.data.splitter
CDataSplitter
CDataSplitterKFold
CDataSplitterLabelKFold
CDataSplitterOpenWorldKFold
CDataSplitterShuffle
CDataSplitterStratifiedKFold
CTrainTestSplit
CChronologicalSplitter
CDataset
CDatasetHeader
CDatasetPyTorch
data_utils
Machine Learning
secml.ml
secml.ml.classifiers
secml.ml.classifiers.multiclass
CClassifierMulticlass
CClassifierMulticlassOVA
secml.ml.classifiers.reject
CClassifierReject
CClassifierRejectThreshold
secml.ml.classifiers.loss
CLoss
CLossCrossEntropy
CLossEpsilonInsensitive
CLossHinge
CLossLogistic
CLossSquare
CSoftmax
secml.ml.classifiers.regularizer
CRegularizer
CRegularizerElasticNet
CRegularizerL1
CRegularizerL2
CClassifier
CClassifierLinear
CClassifierKDE
CClassifierMCSLinear
CClassifierSkLearn
CClassifierDecisionTree
CClassifierKNN
CClassifierLogistic
CClassifierNearestCentroid
CClassifierRandomForest
CClassifierRidge
CClassifierSGD
CClassifierSVM
CClassifierPyTorch
clf_utils
secml.ml.features
secml.ml.features.normalization
CNormalizer
CNormalizerLinear
CNormalizerMeanSTD
CNormalizerMinMax
CNormalizerUnitNorm
secml.ml.features.reduction
CReducer
CLDA
CPCA
CPreProcess
secml.ml.kernel
CKernel
CKernelChebyshevDistance
CKernelEuclidean
CKernelHamming
CKernelHistIntersect
CKernelLaplacian
CKernelLinear
CKernelPoly
CKernelRBF
secml.ml.peval
secml.ml.peval.metrics
CMetric
CMetricAccuracy
CMetricAUC
CMetricAUCWMW
CMetricConfusionMatrix
CMetricF1
CMetricMAE
CMetricMSE
CMetricPartialAUC
CMetricPrecision
CMetricRecall
CRoc
CMetricTestError
CMetricTPRatFPR
CPerfEvaluator
CPerfEvaluatorXVal
CPerfEvaluatorXValMulticlass
secml.ml.stats
CDensityEstimation
CDistributionGaussian
secml.adv
secml.adv.attacks
secml.adv.attacks.evasion
CAttackEvasion
CAttackEvasionPGD
CAttackEvasionPGDLS
secml.adv.attacks.poisoning
CAttackPoisoning
CAttackPoisoningLogisticRegression
CAttackPoisoningRidge
CAttackPoisoningSVM
CAttack
secml.adv.seceval
CSecEval
CSecEvalData
secml.optim
secml.optim.function
CFunction
CFunctionLinear
CFunctionQuadratic
CFunctionRosenbrock
CFunctionThreeHumpCamel
CFunctionBeale
CFunctionMcCormick
secml.optim.optimizers
secml.optim.optimizers.line_search
CLineSearch
CLineSearchBisect
COptimizer
COptimizerPGDLS
COptimizerPGD
COptimizerScipy
secml.optim.constraints
CConstraint
CConstraintBox
CConstraintL1
CConstraintL2
Visualization
secml.figure
CFigure
CPlot
Utilities
secml.parallel
parfor
secml.utils
CLog
c_file_manager
pickle_utils
download_utils
dict_utils
list_utils
mixed_utils
secml.settings
References
UPDATE GUIDES
From 0.8.* to 0.9
1. Configuration file
2. Deprecations
CHANGELOG
v0.9 (11/10/2019)
Improved (1 change)
Changed (1 change)
Fixed (1 change)
Documentation (2 changes)
Deprecations (3 changes)
v0.8.1 (05/09/2019)
Documentation (2 changes)
v0.8 (06/08/2019)
ROADMAP
SecML
Docs
»
secml.testing
Edit on GitLab
secml.testing
¶
CUnitTest
¶
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v: v0.9
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