Training of Spiking Neural Network joint Curriculum Learning Strategy
Starting with small and simple concepts, and gradually introducing complex and difficult
concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to …
concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to …
Moving Target Defense Through Approximation for Low-Power Neuromorphic Edge Intelligence
A Siddique, KA Hoque - IEEE Transactions on Computer-Aided …, 2023 - ieeexplore.ieee.org
Neuromorphic intelligence is driven by spiking neural networks (SNNs) to achieve high
algorithmic performance. However, similar to artificial neural networks (ANNs), SNNs are …
algorithmic performance. However, similar to artificial neural networks (ANNs), SNNs are …
LW-PWECC: Cryptographic Framework of Attack Detection and Secure Data Transmission in IoT
J Ranjith, K Mahantesh… - Journal of Robotics and …, 2024 - journal.umy.ac.id
In the present era, the number of Internet of Health Things (IoHT) devices and applications
has drastically expanded. Security and attack are major issues in the IoHT domain because …
has drastically expanded. Security and attack are major issues in the IoHT domain because …
Accelerating spatiotemporal supervised training of large-scale spiking neural networks on gpu
Spiking neural networks (SNNs) have great potential to achieve brain-like intelligence,
however, it suffers low accuracy of conventional synaptic plasticity rules and low training …
however, it suffers low accuracy of conventional synaptic plasticity rules and low training …
Spike timing reshapes robustness against attacks in spiking neural networks
The success of deep learning in the past decade is partially shrouded in the shadow of
adversarial attacks. In contrast, the brain is far more robust at complex cognitive tasks …
adversarial attacks. In contrast, the brain is far more robust at complex cognitive tasks …
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
Spiking neural networks (SNNs) have attracted much attention for their high energy
efficiency and for recent advances in their classification performance. However, unlike …
efficiency and for recent advances in their classification performance. However, unlike …
Learning Spiking Neural Network from Easy to Hard Task
L Tang, J Hu, H Yu, S Liu, J Chu - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Starting with small and simple concepts, and gradually introducing complex and difficult
concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to …
concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to …
Spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain
Spiking neural networks are widely deployed in neuromorphic devices to simulate brain
function. In this situation, SNN security becomes significant while lacking in-depth research …
function. In this situation, SNN security becomes significant while lacking in-depth research …
[图书][B] Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I
Y Xu, H Yan, H Teng, J Cai, J Li - 2023 - books.google.com
The three-volume proceedings set LNCS 13655, 13656 and 13657 constitutes the
refereedproceedings of the 4th International Conference on Machine Learning for Cyber …
refereedproceedings of the 4th International Conference on Machine Learning for Cyber …
Cryptographic Framework of Attack Detection and Secure Data Transmission in IoT
A CN - International Journal of Computing and Digital Systems, 2024 - journal.uob.edu.bh
In the present era, the number of Internet of Health Things (IoHT) devices and applications
has drastically expanded. Security and attack are major issues in the IoHT domain because …
has drastically expanded. Security and attack are major issues in the IoHT domain because …