RAID: Randomized Adversarial-Input Detection for Neural Networks

7 Feb 2020Hasan Ferit EniserMaria ChristakisValentin Wüstholz

In recent years, neural networks have become the default choice for image classification and many other learning tasks, even though they are vulnerable to so-called adversarial attacks. To increase their robustness against these attacks, there have emerged numerous detection mechanisms that aim to automatically determine if an input is adversarial... (read more)

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