StableNeuralODEwithLyapunov-Stable EquilibriumPointsforDefendingAgainst AdversarialAttacks

Neural Information Processing Systems 

Deep neural networks (DNNs) are well-known to be vulnerable to adversarial attacks, where malicious human-imperceptible perturbations are included inthe input to the deep network to fool it into making a wrong classification.

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