Construct · 1 fields · 1 citations

robustness-accuracy trade-off: a standalone construct

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Adversarial machine learning

the finding that training for adversarial robustness can lower standard accuracy because robust and accurate classifiers rely on different features.

In adversarial machine learning, robustness-accuracy trade-off refers to the finding that training for adversarial robustness can lower standard accuracy because robust and accurate classifiers rely on different features. This meaning comes from Tsipras (2018) in arXiv.[1]

Unit
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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs robustness6 fields · 14 citationsjingle · one name, six constructs

References

Tsipras, D., Santurkar, S., Engstrom, L., Turner, A., & Madry, A. (2018). Robustness May Be at Odds with Accuracy. arXiv. https://doi.org/10.48550/arxiv.1805.12152

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