[paper]SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
本文提出了一种基于空间变换（spatially transformed）（smooth image deformation）的对抗样本生成算法。（ L p L_p Lp距离较大，但图像更真实更不容易被检测） 之前的生成算法大多是将 L p L_p Lp范数作为损失函数，然后直接调整像素值。 两个重要因素 1）图片亮度和质量 2）几何关系 先前的大多数对抗攻击都建立在改变亮度和质量的基础上，同时
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相关文章
- 1. SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
- 2. Paper Review: Adversarial Examples
- 3. [advGAN]Generating Adversarial Examples With Adversarial Networks
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- 5. Explaining and Harnessing Adversarial Examples
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- 7. Generating Adversarial Examples with Adversarial Networks阅读笔记
- 8. Adversarial Examples 对抗样本
- 9. [paper]ADVERSARIAL EXAMPLES IN THE PHYSICAL WORLD
- 10. explaining and harnessing adversarial examples(FGSM)