This release of ART 1.18.0 introduces Overload Attack on object detection models and provides fast accurate loss gradients in Projected Gradient Descent for all norms.

Added

• Added Overload Attack on object detection models (#2337)
• Added support for all norms in Projected Gradient Descent attacks (#2382)
• Added support for feature scaling in inference attacks (#2384)

Changed

• Replaced model specific estimators for Yolo and Faster-RCNN with single estimator for all object detection models in PyTorch (#2321 )

Removed

[None]

Fixed

• Fixed scaling of gradients of non-L[2, infinity] norms in Projected Gradient Descent attacks (#2382)