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    Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
    Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

    Deep neural networks are vulnerable to universal adversarial perturbation (UAP), an instance-agnostic perturbation capable of fooling the target model for most samples.
    RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
    RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks

    Spiking Neural Networks (SNNs) as one of the biology-inspired models have received much attention recently.

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