Adversarial-robustness-toolbox

Latest version: v1.19.1

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1.19.1

This release of ART 1.19.1 provides updates to ART 1.19

Added

[None]

Changed

[None]

Removed

[None]

Fixed

- Fixed string literals in returned AutoAttack metadata to correctly use f-strings (2550)
- Fixed typing and doctoring on `AdversarialPatchPyTorch` attack to account for object detection data (2557)
- Fixed a missing PyTorch transfer to device in `ProjectedGradientDescentPyTorch` attack (2558)

1.19.0

This release of ART 1.19.0 introduces Steal Now Attack Later and Rescaling Auto Conjugate Gradient attacks and the Be Your Own Neighbourhood Detector (BEYOND) for adversarial examples.

Added

- Added the Steal Now Attack Later (SNAL) evasion attack (2440)
- Added the Rescaling Auto Conjugate Gradient (ReACG) descent evasion attack (2460)
- Added the Be Your Own Neighbourhood Detector (BEYOND) for adversarial examples in PyTorch (2489)
- Added support for scikit-learn models with multiples outputs (2505)

Changed

- Changed AutoAttack to allow defining number of processes used in parallel processing (2529)

Removed

[None]

Fixed

- Fixed use of deprecated function `binom_test` from `scipy` (2517)
- Fixed bug in random sampling of patch locations in masks for adversarial patch attacks in PyTorch (2539)

1.18.2

This release of ART 1.18.2 provides updates to ART 1.18

Added

[None]

Changed

- Changed version checks for imported libraries requiring checks to use standard library functions (2500)

Removed

[None]

Fixed

[None]

1.18.1

This release of ART 1.18.1 provides updates to ART 1.18

Added

[None]

Changed

[None]

Removed

[None]

Fixed

- Fixed missing transfer to device/GPU in `ProjectedGradientDescentPyTorch` (2455)

1.18.0

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)

1.17.1

This release of ART 1.17.1 provides updates to ART 1.17

Added

[None]

Changed

[None]

Removed

- Removed upper limit for `scikit-learn` to reduce dependency conflicts and facilitate integration with other libraries.

Fixed

[None]

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