| pipeline_tag: image-classification | |
| license: mit | |
| library_name: pytorch | |
| # Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients (CVPR 2025) | |
| This repository contains model checkpoints for generating adversarial attacks on spiking neural networks (SNNs), as described in the paper [Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients](https://arxiv.org/abs/2503.03272). This model is *not* a standard image classification model but rather a tool for generating adversarial examples to evaluate the robustness of SNNs. | |
| **Code:** [https://github.com/ryime/PDSG-SDA](https://github.com/ryime/PDSG-SDA) | |
| **Checkpoints:** Checkpoints are provided in the repository. |