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- W2797455600 abstract "Neural networks are known to be vulnerable to adversarial examples. In this note, we evaluate the two white-box defenses that appeared at CVPR 2018 and find they are ineffective: when applying existing techniques, we can reduce the accuracy of the defended models to 0%." @default.
- W2797455600 created "2018-04-24" @default.
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- W2797455600 date "2018-04-10" @default.
- W2797455600 modified "2023-09-27" @default.
- W2797455600 title "On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses" @default.
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