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This release of ART v1.8.0 introduces the first estimators for object tracking and regression, adds a general model-independent object detection estimator and new membership inference attacks.
Added estimator for scikit-learn DecisionTreeRegressor in art.estimators.regression.ScikitlearnDecistionTreeRegressor and added compatibility in attacks AttributeInferenceBlackBox and MembershipInferenceBlackBox (Support regression models in several inference attacks #1272)
Added membership inference attack based on boundary attacks with general threshold selection by Li and Zhang (New boundary attack #1197)
Changed
Changed art.estimators.classification.BlackboxClassifier* to also accept recorded input/prediction data pairs, instead of a callable providing predictions by evaluating the attacked model, enabling attacks on prediction data only without the necessity for direct access to the attacked model (Extend BlackBoxClassifier* to accept existing predictions #1247)
Removed art.classifiers and art.wappers, both modules have been replaced with tools in art.preprocessing.expectation_over_transformation, art.estimators.classification and art.estimators.classification.QueryEfficientGradientEstimationClassifier (Remove art.classifiers and art.wrappers #1256)
Fixed
[None]
This discussion was created from the release ART 1.8.0.
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This release of ART v1.8.0 introduces the first estimators for object tracking and regression, adds a general model-independent object detection estimator and new membership inference attacks.
Added
art.estimators.object_tracking.PyTorchGoturn
(Add estimator for object tracker GOTURN in PyTorch #1318)art.estimators.regression.ScikitlearnDecistionTreeRegressor
and added compatibility in attacksAttributeInferenceBlackBox
andMembershipInferenceBlackBox
(Support regression models in several inference attacks #1272)torchvision
inart.estimators.object_detection.PyTorchObjectDetector
(Add general object detection estimator for PyTorch #1295)Changed
art.estimators.classification.BlackboxClassifier*
to also accept recorded input/prediction data pairs, instead of a callable providing predictions by evaluating the attacked model, enabling attacks on prediction data only without the necessity for direct access to the attacked model (Extend BlackBoxClassifier* to accept existing predictions #1247)art.contrib
(Add patched Lingvo decoder to contrib folder #1261)Removed
art.classifiers
andart.wappers
, both modules have been replaced with tools inart.preprocessing.expectation_over_transformation
,art.estimators.classification
andart.estimators.classification.QueryEfficientGradientEstimationClassifier
(Remove art.classifiers and art.wrappers #1256)Fixed
[None]
This discussion was created from the release ART 1.8.0.
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