Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack

21 May 2020Hakmin LeeHong Joo LeeSeong Tae KimYong Man Ro

Deep neural networks have achieved substantial achievements in several computer vision areas, but have vulnerabilities that are often fooled by adversarial examples that are not recognized by humans. This is an important issue for security or medical applications... (read more)

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