Understanding Adversarial Robustness Through Loss Landscape Geometries

Adversarial examples: Opportunities and challenges

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Explaining and harnessing adversarial examples

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Understanding deep learning requires rethinking generalization

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Towards deep learning models resistant to adversarial attacks

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Visualizing the loss landscape of neural nets

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Spatially transformed adversarial examples

Original

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Adversarial training can hurt generalization

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Closest in time.

Adversarial examples: Attacks and defenses for deep learning

Yuan, X., He, P., Zhu, Q., and Li, X · 2019

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