Toward robust spiking neural network against adversarial perturbation

L Liang, K Xu, X Hu, L Deng… - Advances in Neural …, 2022 - proceedings.neurips.cc
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

Toward Robust Spiking Neural Network Against Adversarial Perturbation

L Liang, K Xu, X Hu, L Deng, Y Xie - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

[PDF][PDF] Toward Robust Spiking Neural Network Against Adversarial Perturbation

L Liang, K Xu, X Hu, L Deng, Y Xie - papers.neurips.cc
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

Toward Robust Spiking Neural Network Against Adversarial Perturbation

L Liang, K Xu, X Hu, L Deng, Y Xie - arXiv preprint arXiv:2205.01625, 2022 - arxiv.org
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

Toward Robust Spiking Neural Network Against Adversarial Perturbation

L Liang, K Xu, X Hu, L Deng, Y Xie - Advances in Neural …, 2022 - openreview.net
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

Toward robust spiking neural network against adversarial perturbation

L Liang, K Xu, X Hu, L Deng, Y Xie - Proceedings of the 36th …, 2022 - dl.acm.org
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …