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Self-Supervised Adversarial Training

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IEEE ICASSP 2020 Virtual Conference May 2020
Recent work has demonstrated that neural networks are vulnerable to adversarial examples. To escape from the predicament, many works try to harden the model in various ways, in which adversarial training is an effective way which learns robust feature rep
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Self-Supervised Adversarial Training

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Recent work has demonstrated that neural networks are vulnerable to adversarial examples. To escape from the predicament, many works try to harden the model in various ways, in which adversarial training is an effective way which learns robust feature rep