Construct · 1 fields · 1 citations

non-robust features: a standalone construct

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

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Adversarial machine learning

predictive patterns in data that humans cannot perceive and that are brittle, proposed as the reason adversarial examples exist.

In adversarial machine learning, non-robust features refers to predictive patterns in data that humans cannot perceive and that are brittle, proposed as the reason adversarial examples exist. This meaning comes from Ilyas (2019) in arXiv.[1]

Unit
Recovery means
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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs

References

Ilyas, A., Santurkar, S., Tsipras, D., Engstrom, L., Tran, B., & Madry, A. (2019). Adversarial Examples Are Not Bugs, They Are Features. arXiv. https://doi.org/10.48550/arxiv.1905.02175

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