ART 1.16.0 #2298
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ART 1.16.0
#2298
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This release of ART 1.16.0 introduces multiple estimators for certified robustness and Hugging Face models, adversarial training with Adversarial Weight Perturbation, improvements for inference attacks, and more.
Added
__repr__
to all attacks (Printable representation of Attack objects [JATIC-I2-IBM] #2274)Changed
set_params
to raiseValueError
if a not previously defined attributed is set (AutoAttack skips attacks not supporting targeted mode [JATIC-I2-IBM] #2257)Removed
[None]
Fixed
TargetedUniversalPerturbation
(Update Targeted Universal Perturbation documentation and add example notebook #2212)AdversarialPatchTensorFlowV2
(Fix unsupported operand type(s) for / error in AdversarialPatch in Tensorflow #2276)AutoAttack
to avoid that attacks which do not support targeted mode are skipped (AutoAttack skips attacks not supporting targeted mode [JATIC-I2-IBM] #2257)This discussion was created from the release ART 1.16.0.
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