A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks-Reference-Cited by-同舟云学术

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A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 International Joint Conference on Neural Networks (IJCNN)
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Author:

Sharmin Saima,Panda Priyadarshini,Sarwar Syed Shakib,Lee Chankyu,Ponghiran Wachirawit,Roy Kaushik

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8840768/8851681/08851732.pdf?arnumber=8851732

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A robust defense for spiking neural networks against adversarial examples via input filtering;Journal of Systems Architecture;2024-08

2. L-ReLU Spiking Neuron Circuit Based on Threshold Switching Memristor for Conversion-Based Spiking Neural Networks;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-07

3. NeuroREC: A 28-nm Efficient Neuromorphic Processor for Radar Emitter Classification;IEEE Transactions on Circuits and Systems I: Regular Papers;2024

4. Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

5. Uncovering the Resilience of Binarized Spiking Neural Networks under Adversarial Attacks;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

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