A Direct Approach to Robust Deep Learning Using Adversarial Networks

ICLR 2019 Huaxia WangChun-Nam Yu

Deep neural networks have been shown to perform well in many classical machine learning problems, especially in image classification tasks. However, researchers have found that neural networks can be easily fooled, and they are surprisingly sensitive to small perturbations imperceptible to humans... (read more)

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