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ART 1.18.0

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@beat-buesser beat-buesser released this 16 Jun 22:19
· 16 commits to main since this release

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)