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Hire-snn: Harnessing the inherent robustness of energy-efficient deep spiking neural networks by training with crafted input noise
Low-latency deep spiking neural networks (SNNs) have become a promising alternative to
conventional artificial neural networks (ANNs) because of their potential for increased …
conventional artificial neural networks (ANNs) because of their potential for increased …
A comprehensive review of spiking neural networks: Interpretation, optimization, efficiency, and best practices
K Malcolm, J Casco-Rodriguez - ar** humans in completing diverse, complex, and intensive tasks …
Dvs-attacks: Adversarial attacks on dynamic vision sensors for spiking neural networks
Spiking Neural Networks (SNNs), despite being energy-efficient when implemented on
neuromorphic hardware and coupled with event-based Dynamic Vision Sensors (DVS), are …
neuromorphic hardware and coupled with event-based Dynamic Vision Sensors (DVS), are …
[PDF][PDF] Toward robust spiking neural network against adversarial perturbation
As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …
applications, the security concerns in SNNs attract more attention. Currently, researchers …