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MeMark: Membrane-Space Watermarking for Spiking Neural Networks
Spiking Neural Networks (SNNs) are increasingly distributed as pretrained checkpoints and reused as backbones for new tasks. However, current SNN watermarks are mainly verified against the model output. Thus, a user who replaces the output head can keep most of the original network while removing the evidence used for verification. We present MeMark, a watermark designed for the checkpoint-reuse setting. Instead of storing the watermark in the output head, MeMark embeds a multi-bit identifier in the internal membrane state of selected Leaky Integrate-and-Fire (LIF) neurons. A secret input driv
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T12:50:09.000Z
First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.