Construct · 1 fields · 1 citations

taxonomy of attacks on machine learning: a standalone construct

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Adversarial machine learning

a classification of attacks on learning systems by influence (causative or exploratory), security violation and specificity.

In adversarial machine learning, taxonomy of attacks on machine learning refers to a classification of attacks on learning systems by influence (causative or exploratory), security violation and specificity. This meaning comes from Barreno (2006) in Proceedings of the 2006 ACM Symposium on Information, computer and communications security.[1]

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Nearby constructs

influence5 fields · 5 citationsjingle · one word, five constructs information4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Barreno, M., Nelson, B., Sears, R., Joseph, A. D., & Tygar, J. D. (2006). Can machine learning be secure? Proceedings of the 2006 ACM Symposium on Information, computer and communications security. https://doi.org/10.1145/1128817.1128824

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