ART 1.19.0

[beat-buesser]

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 (Added support for SNAL attack  #2440)
• Added the Rescaling Auto Conjugate Gradient (ReACG) descent evasion attack (Implement Rescaling-ACG, which is a improved version of ACG attack.  #2460)
• Added the Be Your Own Neighbourhood Detector (BEYOND) for adversarial examples in PyTorch (Added support for BEYOND [ICML-2024]  #2489)
• Added support for scikit-learn models with multiples outputs (Support sklearn models with multiple outputs #2505)

Changed

• Changed AutoAttack to allow defining number of processes used in parallel processing (Allow constraint of pool resources on multiprocess.pool() execution within parallel AutoAttack #2529)

Removed

[None]

Fixed

• Fixed use of deprecated function binom_test from scipy (Depreciated function name 'binom_test' of scipy. #2517)
• Fixed bug in random sampling of patch locations in masks for adversarial patch attacks in PyTorch (Fix bug in random sampling of patch locations in masks for adversarial patch attacks #2539)

---

This discussion was created from the release ART 1.19.0.