Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks

7 Sep 2020Shankar A. DekaDušan M. StipanovićClaire J. Tomlin

Convolutional and recurrent neural networks have been widely employed to achieve state-of-the-art performance on classification tasks. However, it has also been noted that these networks can be manipulated adversarially with relative ease, by carefully crafted additive perturbations to the input... (read more)

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