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对抗攻击论文解读 - 知乎 EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES 论文解读 论文链接：arxiv org pdf 1412 6572 由Google发表在2015 ICLR。 这篇论文是对抗攻击的经典论文之一， 论文首先证明了线形模型中存在的对抗攻击。
adversarial training为什么会起作用？ - 知乎 We identify obfuscated gradients, a kind of gradi- ent masking, as a phenomenon that leads to a false sense of security in defenses against adversarial examples While defenses that cause obfuscated gradients appear to defeat iterative optimization- based attacks, we find defenses relying on this effect can be circumvented
国内外深度学习可解释性领域的著名学者有哪些？ - 知乎 其与同事的研究成果《Explaining and Harnessing Adversarial Examples》提出了对抗样本攻击的概念，引发了该领域的广泛研究。 Been Kim：Google Brain的研究科学家，主要研究深度学习的可解释性和公正性问题。
模型的Robustness和Generalization是什么关系？ - 知乎 Explaining and harnessing adversarial examples arXiv preprint arXiv:1412 6572 [2] Moosavi-Dezfooli, Seyed-Mohsen, et al "Universal adversarial perturbations " Proceedings of the IEEE conference on computer vision and pattern recognition 2017 [3] Tsipras, Dimitris, et al "Robustness may be at odds with accuracy "
Jerry - 知乎 论文地址： Explaining and Harnessing Adversarial Examples Github： EXPLAINING AND HARNESSING ADVERSARIAL EXAM …