ssharmin / spikingNN-adversarial-attackLinks
☆15Updated 4 years ago
Alternatives and similar repositories for spikingNN-adversarial-attack
Users that are interested in spikingNN-adversarial-attack 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 11 months ago
- ☆55Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆34Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 3 years ago
- ☆17Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆16Updated 8 months ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆30Updated 3 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆16Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- ☆38Updated 3 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆12Updated 2 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated last year
- ☆45Updated 3 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Updated 2 years ago
- ☆36Updated last year
- ☆18Updated 2 years ago
- ☆28Updated 4 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 3 years ago
- ☆14Updated 3 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- ☆12Updated 3 years ago
- ☆29Updated last year
- [Pattern Recognition'23] AC2AS: Activation Consistency Coupled ANN-SNN Framework for Fast and Memory-Efficient SNN Training☆7Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- ☆19Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year