arXiv (All)
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Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks
Machine learning (ML) models are susceptible to various risks to security, privacy, and fairness. Most defenses are designed to protect against each risk individually (intended interactions) but can inadvertently affect susceptibility to other unrelated risks (unintended interactions). We introduce
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