rda-ela / SNN-Adversarial-AttacksLinks
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
☆13Updated 3 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:
- ☆12Updated 3 years ago
- ☆42Updated 2 years ago
- ☆55Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Updated 3 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆17Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆103Updated 2 weeks ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated last year
- An energy simulation framework for BPTT-based SNN inference and training.☆17Updated 2 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆32Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- ☆16Updated 5 years ago
- ☆46Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆21Updated 4 years ago
- ☆29Updated 5 years ago
- ☆38Updated 4 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Updated 2 years ago
- Quantization-aware training with spiking neural networks☆51Updated 3 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year