Stealing Machine Learning Models via Prediction APIs
2016-8-10u2002·u2002Machine learning (ML) models may be deemed con-fidential due to their sensitive training data, commercial value, or use in security applications. Increasingly often, confidential ML models are being deployed with pub-licly accessible query interfaces. ML-as-a-service ('pre-dictive analytics') systems are an example: Some allow
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