This release of ART 1.14.1 provides updates to ART 1.14
Added
[None]
Changed
[None]
Removed
[None]
Fixed
Fixed bug in PytorchYolo object detection estimator to correctly normalize the bounding boxes (#2091)
Fixed missing adversarial_accuracy metric in __init__.py (#2093 )
Fixed bug of default value for a loss weighting parameter being used rather than user supplied inputs in AdversarialTrainerCertifiedIBPPyTorch (#2102)
Fixed Regional Misclassification Attack (RMA) to be able to poison all bounding boxes regardless of the class type (#2110 )
Fixed wrong order of predictions and targets arguments in AutoProjectedGradientDescent's new cross entropy loss class introduced in ART 1.14.0 and ensured correct attributes in PyTorchClassifier (#2117)
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dependabot[bot]
commented
1 year ago
Updates the requirements on adversarial-robustness-toolbox to permit the latest version.
Release notes
Sourced from adversarial-robustness-toolbox's releases.
Commits
b13f802Bump version to ART 1.14.1a43b6cfMerge pull request #2120 from Trusted-AI/dev_1.14.1b35a559Merge branch 'main' into dev_1.14.15039a39Merge pull request #2117 from Trusted-AI/development_issue_2116cb01479Merge branch 'dev_1.14.1' into development_issue_2116731c1d3Update expected test value for Shadow Attack63f3501Merge pull request #2112 from GiulioZizzo/ibp_loss_weighting_fix47f3c6eMerge branch 'dev_1.14.1' into development_issue_2116be1941aFix bugs in AutoProjectedGradientDescentbbeae7dMerge branch 'dev_1.14.1' into ibp_loss_weighting_fixYou can trigger a rebase of this PR by commenting
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