MindSpore
安装部署
安装MindSpore Armour
AI安全
使用NAD算法提升模型安全性
使用fuzz testing模块测试模型安全性
对OCR模型CNN-CTC的鲁棒性评测
模型加密保护
模型动态混淆
AI隐私
应用差分隐私机制保护用户隐私
应用抑制隐私机制保护用户隐私
使用成员推理测试模型安全性
AI可靠性
实现时序数据概念漂移检测应用
实现图像数据概念漂移检测应用
实现模型故障注入评估模型容错性
API参考
mindarmour
mindarmour.adv_robustness.attacks
mindarmour.adv_robustness.defenses
mindarmour.adv_robustness.detectors
mindarmour.adv_robustness.evaluations
mindarmour.fuzz_testing
mindarmour.natural_robustness.transform.image
mindarmour.privacy.diff_privacy
mindarmour.privacy.evaluation
mindarmour.privacy.sup_privacy
mindarmour.reliability
mindarmour.utils
参考文档
安全可信总体设计
差分隐私设计
AI模型安全测试设计
MindSpore Armour模块介绍
FAQ
RELEASE NOTES
Release Notes
MindSpore
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索引
索引
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A
add_handler() (mindarmour.utils.LogUtil 方法)
asv() (mindarmour.adv_robustness.evaluations.BlackDefenseEvaluate 方法)
avg_conf_adv_class() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
avg_conf_true_class() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
avg_lp_distance() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
avg_ssim() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
B
batch_defense() (mindarmour.Defense 方法)
batch_generate() (mindarmour.Attack 方法)
C
calc_actual_sparse_for_conv() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
calc_actual_sparse_for_fc1() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
calc_actual_sparse_for_layer() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
calc_theoretical_sparse_for_conv() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
cav() (mindarmour.adv_robustness.evaluations.DefenseEvaluate 方法)
ccv() (mindarmour.adv_robustness.evaluations.DefenseEvaluate 方法)
clear_buffer() (mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
concept_check() (mindarmour.reliability.ConceptDriftCheckTimeSeries 方法)
construct() (mindarmour.privacy.diff_privacy.AdaClippingWithGaussianRandom 方法)
(mindarmour.privacy.diff_privacy.NoiseAdaGaussianRandom 方法)
(mindarmour.privacy.diff_privacy.NoiseGaussianRandom 方法)
(mindarmour.utils.GradWrap 方法)
(mindarmour.utils.GradWrapWithLoss 方法)
cos() (mindarmour.adv_robustness.evaluations.DefenseEvaluate 方法)
create() (mindarmour.privacy.diff_privacy.ClipMechanismsFactory 方法)
(mindarmour.privacy.diff_privacy.DPOptimizerClassFactory 方法)
(mindarmour.privacy.diff_privacy.NoiseMechanismsFactory 方法)
(mindarmour.privacy.diff_privacy.PrivacyMonitorFactory 方法)
(mindarmour.privacy.sup_privacy.SuppressPrivacyFactory 方法)
crr() (mindarmour.adv_robustness.evaluations.DefenseEvaluate 方法)
csr() (mindarmour.adv_robustness.evaluations.DefenseEvaluate 方法)
D
debug() (mindarmour.utils.LogUtil 方法)
defense() (mindarmour.adv_robustness.defenses.AdversarialDefense 方法)
(mindarmour.adv_robustness.defenses.AdversarialDefenseWithAttacks 方法)
(mindarmour.Defense 方法)
detect() (mindarmour.adv_robustness.detectors.EnsembleDetector 方法)
(mindarmour.adv_robustness.detectors.ErrorBasedDetector 方法)
(mindarmour.adv_robustness.detectors.RegionBasedDetector 方法)
(mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
(mindarmour.adv_robustness.detectors.SpatialSmoothing 方法)
(mindarmour.Detector 方法)
detect_diff() (mindarmour.adv_robustness.detectors.DivergenceBasedDetector 方法)
(mindarmour.adv_robustness.detectors.EnsembleDetector 方法)
(mindarmour.adv_robustness.detectors.ErrorBasedDetector 方法)
(mindarmour.adv_robustness.detectors.RegionBasedDetector 方法)
(mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
(mindarmour.adv_robustness.detectors.SpatialSmoothing 方法)
(mindarmour.Detector 方法)
E
error() (mindarmour.utils.LogUtil 方法)
eval() (mindarmour.privacy.evaluation.MembershipInference 方法)
evaluate() (mindarmour.privacy.evaluation.ImageInversionAttack 方法)
F
fit() (mindarmour.adv_robustness.detectors.EnsembleDetector 方法)
(mindarmour.adv_robustness.detectors.ErrorBasedDetector 方法)
(mindarmour.adv_robustness.detectors.RegionBasedDetector 方法)
(mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
(mindarmour.adv_robustness.detectors.SpatialSmoothing 方法)
(mindarmour.Detector 方法)
fpr() (mindarmour.adv_robustness.evaluations.BlackDefenseEvaluate 方法)
fuzzing() (mindarmour.fuzz_testing.Fuzzer 方法)
(mindarmour.fuzz_testing.SensitivityMaximizingFuzzer 方法)
G
generate() (mindarmour.adv_robustness.attacks.AutoProjectedGradientDescent 方法)
(mindarmour.adv_robustness.attacks.BasicIterativeMethod 方法)
(mindarmour.adv_robustness.attacks.CarliniWagnerL2Attack 方法)
(mindarmour.adv_robustness.attacks.DeepFool 方法)
(mindarmour.adv_robustness.attacks.GeneticAttack 方法)
(mindarmour.adv_robustness.attacks.HopSkipJumpAttack 方法)
(mindarmour.adv_robustness.attacks.IterativeGradientMethod 方法)
(mindarmour.adv_robustness.attacks.JSMAAttack 方法)
(mindarmour.adv_robustness.attacks.LBFGS 方法)
(mindarmour.adv_robustness.attacks.MomentumIterativeMethod 方法)
(mindarmour.adv_robustness.attacks.NES 方法)
(mindarmour.adv_robustness.attacks.PointWiseAttack 方法)
(mindarmour.adv_robustness.attacks.ProjectedGradientDescent 方法)
(mindarmour.adv_robustness.attacks.PSOAttack 方法)
(mindarmour.adv_robustness.attacks.SaltAndPepperNoiseAttack 方法)
(mindarmour.adv_robustness.attacks.VarianceTuningMomentumIterativeMethod 方法)
(mindarmour.adv_robustness.attacks.VarianceTuningNesterovIterativeMethod 方法)
(mindarmour.Attack 方法)
(mindarmour.privacy.evaluation.ImageInversionAttack 方法)
get_detected_queries() (mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
get_detection_interval() (mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
get_instance() (mindarmour.utils.LogUtil 方法)
get_metrics() (mindarmour.fuzz_testing.CoverageMetrics 方法)
(mindarmour.fuzz_testing.KMultisectionNeuronCoverage 方法)
(mindarmour.fuzz_testing.NeuronBoundsCoverage 方法)
(mindarmour.fuzz_testing.NeuronCoverage 方法)
(mindarmour.fuzz_testing.SensitivityConvergenceCoverage 方法)
(mindarmour.fuzz_testing.SuperNeuronActivateCoverage 方法)
(mindarmour.fuzz_testing.TopKNeuronCoverage 方法)
get_optimal_threshold() (mindarmour.reliability.OodDetector 方法)
(mindarmour.reliability.OodDetectorFeatureCluster 方法)
I
info() (mindarmour.utils.LogUtil 方法)
is_adversarial() (mindarmour.BlackModel 方法)
K
kick_off() (mindarmour.reliability.FaultInjector 方法)
L
link_suppress_ctrl() (mindarmour.privacy.sup_privacy.SuppressModel 方法)
M
max_epoch_suggest() (mindarmour.privacy.diff_privacy.RDPMonitor 方法)
(mindarmour.privacy.diff_privacy.ZCDPMonitor 方法)
metrics() (mindarmour.reliability.FaultInjector 方法)
mindarmour.adv_robustness.attacks.AutoProjectedGradientDescent (內置类)
mindarmour.adv_robustness.attacks.BasicIterativeMethod (內置类)
mindarmour.adv_robustness.attacks.CarliniWagnerL2Attack (內置类)
mindarmour.adv_robustness.attacks.DeepFool (內置类)
mindarmour.adv_robustness.attacks.DiverseInputIterativeMethod (內置类)
mindarmour.adv_robustness.attacks.FastGradientMethod (內置类)
mindarmour.adv_robustness.attacks.FastGradientSignMethod (內置类)
mindarmour.adv_robustness.attacks.GeneticAttack (內置类)
mindarmour.adv_robustness.attacks.HopSkipJumpAttack (內置类)
mindarmour.adv_robustness.attacks.IterativeGradientMethod (內置类)
mindarmour.adv_robustness.attacks.JSMAAttack (內置类)
mindarmour.adv_robustness.attacks.LBFGS (內置类)
mindarmour.adv_robustness.attacks.LeastLikelyClassMethod (內置类)
mindarmour.adv_robustness.attacks.MomentumDiverseInputIterativeMethod (內置类)
mindarmour.adv_robustness.attacks.MomentumIterativeMethod (內置类)
mindarmour.adv_robustness.attacks.NES (內置类)
mindarmour.adv_robustness.attacks.PointWiseAttack (內置类)
mindarmour.adv_robustness.attacks.ProjectedGradientDescent (內置类)
mindarmour.adv_robustness.attacks.PSOAttack (內置类)
mindarmour.adv_robustness.attacks.RandomFastGradientMethod (內置类)
mindarmour.adv_robustness.attacks.RandomFastGradientSignMethod (內置类)
mindarmour.adv_robustness.attacks.RandomLeastLikelyClassMethod (內置类)
mindarmour.adv_robustness.attacks.SaltAndPepperNoiseAttack (內置类)
mindarmour.adv_robustness.attacks.VarianceTuningMomentumIterativeMethod (內置类)
mindarmour.adv_robustness.attacks.VarianceTuningNesterovIterativeMethod (內置类)
mindarmour.adv_robustness.defenses.AdversarialDefense (內置类)
mindarmour.adv_robustness.defenses.AdversarialDefenseWithAttacks (內置类)
mindarmour.adv_robustness.defenses.EnsembleAdversarialDefense (內置类)
mindarmour.adv_robustness.defenses.NaturalAdversarialDefense (內置类)
mindarmour.adv_robustness.defenses.ProjectedAdversarialDefense (內置类)
mindarmour.adv_robustness.detectors.DivergenceBasedDetector (內置类)
mindarmour.adv_robustness.detectors.EnsembleDetector (內置类)
mindarmour.adv_robustness.detectors.ErrorBasedDetector (內置类)
mindarmour.adv_robustness.detectors.RegionBasedDetector (內置类)
mindarmour.adv_robustness.detectors.SimilarityDetector (內置类)
mindarmour.adv_robustness.detectors.SpatialSmoothing (內置类)
mindarmour.adv_robustness.evaluations.AttackEvaluate (內置类)
mindarmour.adv_robustness.evaluations.BlackDefenseEvaluate (內置类)
mindarmour.adv_robustness.evaluations.DefenseEvaluate (內置类)
mindarmour.adv_robustness.evaluations.NeuronMetric (內置类)
mindarmour.adv_robustness.evaluations.RadarMetric (內置类)
mindarmour.Attack (內置类)
mindarmour.BlackModel (內置类)
mindarmour.Defense (內置类)
mindarmour.Detector (內置类)
mindarmour.fuzz_testing.CoverageMetrics (內置类)
mindarmour.fuzz_testing.Fuzzer (內置类)
mindarmour.fuzz_testing.KMultisectionNeuronCoverage (內置类)
mindarmour.fuzz_testing.NeuronBoundsCoverage (內置类)
mindarmour.fuzz_testing.NeuronCoverage (內置类)
mindarmour.fuzz_testing.SensitivityConvergenceCoverage (內置类)
mindarmour.fuzz_testing.SensitivityMaximizingFuzzer (內置类)
mindarmour.fuzz_testing.SuperNeuronActivateCoverage (內置类)
mindarmour.fuzz_testing.TopKNeuronCoverage (內置类)
mindarmour.natural_robustness.transform.image.Contrast (內置类)
mindarmour.natural_robustness.transform.image.Curve (內置类)
mindarmour.natural_robustness.transform.image.GaussianBlur (內置类)
mindarmour.natural_robustness.transform.image.GaussianNoise (內置类)
mindarmour.natural_robustness.transform.image.GradientBlur (內置类)
mindarmour.natural_robustness.transform.image.GradientLuminance (內置类)
mindarmour.natural_robustness.transform.image.MotionBlur (內置类)
mindarmour.natural_robustness.transform.image.NaturalNoise (內置类)
mindarmour.natural_robustness.transform.image.Perspective (內置类)
mindarmour.natural_robustness.transform.image.Rotate (內置类)
mindarmour.natural_robustness.transform.image.SaltAndPepperNoise (內置类)
mindarmour.natural_robustness.transform.image.Scale (內置类)
mindarmour.natural_robustness.transform.image.Shear (內置类)
mindarmour.natural_robustness.transform.image.Translate (內置类)
mindarmour.natural_robustness.transform.image.UniformNoise (內置类)
mindarmour.privacy.diff_privacy.AdaClippingWithGaussianRandom (內置类)
mindarmour.privacy.diff_privacy.ClipMechanismsFactory (內置类)
mindarmour.privacy.diff_privacy.DPModel (內置类)
mindarmour.privacy.diff_privacy.DPOptimizerClassFactory (內置类)
mindarmour.privacy.diff_privacy.NoiseAdaGaussianRandom (內置类)
mindarmour.privacy.diff_privacy.NoiseGaussianRandom (內置类)
mindarmour.privacy.diff_privacy.NoiseMechanismsFactory (內置类)
mindarmour.privacy.diff_privacy.PrivacyMonitorFactory (內置类)
mindarmour.privacy.diff_privacy.RDPMonitor (內置类)
mindarmour.privacy.diff_privacy.ZCDPMonitor (內置类)
mindarmour.privacy.evaluation.ImageInversionAttack (內置类)
mindarmour.privacy.evaluation.MembershipInference (內置类)
mindarmour.privacy.sup_privacy.MaskLayerDes (內置类)
mindarmour.privacy.sup_privacy.SuppressCtrl (內置类)
mindarmour.privacy.sup_privacy.SuppressMasker (內置类)
mindarmour.privacy.sup_privacy.SuppressModel (內置类)
mindarmour.privacy.sup_privacy.SuppressPrivacyFactory (內置类)
mindarmour.reliability.ConceptDriftCheckTimeSeries (內置类)
mindarmour.reliability.FaultInjector (內置类)
mindarmour.reliability.OodDetector (內置类)
mindarmour.reliability.OodDetectorFeatureCluster (內置类)
mindarmour.utils.GradWrap (內置类)
mindarmour.utils.GradWrapWithLoss (內置类)
mindarmour.utils.LogUtil (內置类)
mis_classification_rate() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
N
neuron_sensitivity() (mindarmour.adv_robustness.evaluations.NeuronMetric 方法)
nte() (mindarmour.adv_robustness.evaluations.AttackEvaluate 方法)
O
ood_predict() (mindarmour.reliability.OodDetector 方法)
(mindarmour.reliability.OodDetectorFeatureCluster 方法)
P
predict() (mindarmour.BlackModel 方法)
print_paras() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
Q
qcv() (mindarmour.adv_robustness.evaluations.BlackDefenseEvaluate 方法)
qrv() (mindarmour.adv_robustness.evaluations.BlackDefenseEvaluate 方法)
R
reset_zeros() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
S
set_level() (mindarmour.utils.LogUtil 方法)
set_mechanisms() (mindarmour.privacy.diff_privacy.DPOptimizerClassFactory 方法)
set_radius() (mindarmour.adv_robustness.detectors.RegionBasedDetector 方法)
set_target_images() (mindarmour.adv_robustness.attacks.HopSkipJumpAttack 方法)
(mindarmour.adv_robustness.attacks.NES 方法)
set_threshold() (mindarmour.adv_robustness.detectors.ErrorBasedDetector 方法)
(mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
(mindarmour.adv_robustness.detectors.SpatialSmoothing 方法)
show() (mindarmour.adv_robustness.evaluations.RadarMetric 方法)
step_end() (mindarmour.privacy.diff_privacy.RDPMonitor 方法)
(mindarmour.privacy.diff_privacy.ZCDPMonitor 方法)
(mindarmour.privacy.sup_privacy.SuppressMasker 方法)
T
train() (mindarmour.privacy.evaluation.MembershipInference 方法)
transform() (mindarmour.adv_robustness.detectors.EnsembleDetector 方法)
(mindarmour.adv_robustness.detectors.ErrorBasedDetector 方法)
(mindarmour.adv_robustness.detectors.RegionBasedDetector 方法)
(mindarmour.adv_robustness.detectors.SimilarityDetector 方法)
(mindarmour.Detector 方法)
U
update_mask() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
update_mask_layer() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
update_mask_layer_approximity() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
update_status() (mindarmour.privacy.sup_privacy.SuppressCtrl 方法)
W
warn() (mindarmour.utils.LogUtil 方法)