This release of ART 1.13.0 introduces black-box regression estimator, DP-InstaHide, object detection estimator for TensorFlow v2, and more.

Added

Added CutOut data augmentation as preprocessor in Numpy, TensorFlow and PyTorch (#1850)
Added MixUp data augmentation as preprocessor in Numpy, TensorFlow and PyTorch (#1885)
Added CutMix data augmentation as preprocessor in Numpy, TensorFlow and PyTorch (#1910)
Added regression estimator for black-box scenario (#1930)
Added additional model support for shadow models (#1930)
Added Numpy-based data generator to support very large datasets (#1934
Added object detection estimator for Faster-RCNN in TensorFlow v2 (#1951)
Added DP-InstaHide training for classification with differentially private data augmentations (#1956)
Added Interval Bound Propagation for certified classification in PyTorch (#1965)

Changed

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Fixed unexpected shape in art.utils.load_cifar10 for loading raw dataset (#1962)
Fixed bug to return correct best poisoning indices in SleeperAgentAttack (#1955)