Add model card and metadata (#1)

- Add model card and metadata (5dcbf3d5ddea80f8a0dc571ef3f6e8248b9cd635)


Co-authored-by: Niels Rogge <[email protected]>

README.md

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-Paper: https://arxiv.org/abs/2503.03272
+---
+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.