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MeMark: Membrane-Space Watermarking for Spiking Neural Networks

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

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

First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.