Why you should care about debugging machine learning models
O'Reilly on Data
DECEMBER 12, 2019
Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Privacy harms : models can compromise individual privacy in a long (and growing) list of ways. [8]
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