Construct · 1 fields · 1 citations

model extraction attack: a standalone construct

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Machine learning security

an adversary uses query access to a deployed model's prediction interface to build a near-equivalent copy of the model.

In machine learning security, model extraction attack refers to an adversary uses query access to a deployed model's prediction interface to build a near-equivalent copy of the model. This meaning comes from Tramèr (2016) in arXiv.[1]

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Nearby constructs

attack4 fields · 10 citationsjingle · one word, four constructs interface2 fields · 2 citationsjingle · one word, two constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Tramèr, F., Zhang, F., Juels, A., Reiter, M. K., & Ristenpart, T. (2016). Stealing Machine Learning Models via Prediction APIs. arXiv. https://doi.org/10.48550/arxiv.1609.02943

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