Ensemble Adversarial Training with data-split diversity improves PGD robustness for deep metric learning models over adapted classification defenses, but the evaluation has important gaps.
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Towards Adversarially Robust Deep Metric Learning
Ensemble Adversarial Training with data-split diversity improves PGD robustness for deep metric learning models over adapted classification defenses, but the evaluation has important gaps.