Construct · 1 fields · 1 citations

fast gradient sign method: a standalone construct

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Deep learning

a one-step method that builds an adversarial example by moving each input value a small fixed amount in the direction of the sign of the loss gradient.

In deep learning, fast gradient sign method refers to a one-step method that builds an adversarial example by moving each input value a small fixed amount in the direction of the sign of the loss gradient. This meaning comes from Goodfellow (2014) in arXiv.[1]

Unit
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adversarial training1 fields · 1 citationsanchor · a standalone construct adversarial example1 fields · 1 citationsanchor · a standalone construct deep learning1 fields · 1 citationsanchor · a standalone construct

References

Goodfellow, I. J., Shlens, J., & Szegedy, C. (2014). Explaining and Harnessing Adversarial Examples. arXiv. https://doi.org/10.48550/arxiv.1412.6572

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