Construct · 1 fields · 1 citations

machine unlearning: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning security

removing the influence of specific training data from a trained model so the system behaves as if that data had never been used.

In machine learning security, machine unlearning refers to removing the influence of specific training data from a trained model so the system behaves as if that data had never been used. This meaning comes from Cao (2015) in 2015 IEEE Symposium on Security and Privacy.[1]

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Nearby constructs

influence5 fields · 5 citationsjingle · one word, five constructs learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Cao, Y., & Yang, J. (2015). Towards Making Systems Forget with Machine Unlearning. 2015 IEEE Symposium on Security and Privacy. https://doi.org/10.1109/sp.2015.35

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