rda-ela / SNN-Adversarial-AttacksLinks
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
☆12Updated 2 years ago
Alternatives and similar repositories for SNN-Adversarial-Attacks
Users that are interested in SNN-Adversarial-Attacks are comparing it to the libraries listed below
Sorting:
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 10 months ago
- ☆12Updated 3 years ago
- ☆36Updated last year
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- ☆15Updated 4 years ago
- ☆54Updated 2 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆16Updated 3 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 7 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆19Updated 3 years ago
- ☆38Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- ☆28Updated 4 years ago
- Collect important papers about snn☆32Updated 3 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆62Updated last year
- ☆17Updated 2 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆20Updated 3 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆21Updated last year
- Weight distribution analysis of two deep spiking neural networks built in SpykeTorch (Networks from: https://github.com/miladmozafari/Spy…☆9Updated 4 years ago
- Reproduce Spiking Transformer via Braincog☆13Updated last week
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆26Updated 2 years ago
- Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"☆17Updated 4 years ago