Exploring adversarial attack in spiking neural networks with spike-compatible gradient
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding, P Li… - arXiv preprint arXiv …, 2020 - arxiv.org
Recently, backpropagation through time inspired learning algorithms are widely introduced
into SNNs to improve the performance, which brings the possibility to attack the models …
into SNNs to improve the performance, which brings the possibility to attack the models …
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding, P Li… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Recently, backpropagation through time inspired learning algorithms are widely introduced
into SNNs to improve the performance, which brings the possibility to attack the models …
into SNNs to improve the performance, which brings the possibility to attack the models …
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding… - IEEE Transactions on …, 2021 - europepmc.org
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …
[PDF][PDF] Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding… - IEEE Transactions on …, 2021 - par.nsf.gov
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding… - IEEE Transactions on …, 2023 - escholarship.org
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li… - … on neural networks …, 2023 - pubmed.ncbi.nlm.nih.gov
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding… - IEEE Trans. Neural …, 2023 - openreview.net
Spiking neural network (SNN) is broadly deployed in neuromorphic devices to emulate brain
function. In this context, SNN security becomes important while lacking in-depth …
function. In this context, SNN security becomes important while lacking in-depth …