CONSERVAttack creates adversarial perturbations in HEP ML models that respect uncertainty bounds but cause misclassifications, revealing gaps in current validation practices.
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Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
CONSERVAttack creates adversarial perturbations in HEP ML models that respect uncertainty bounds but cause misclassifications, revealing gaps in current validation practices.