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Author

Mengting Xu

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On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks

This study revisits SNN robustness through the lens of temporal granularity, emphasizing the distinct behaviors that occur at individual time steps and proposes a Temporal Granularity Regu-larization term that constrains the TSV across all time steps, thereby improving the model’s overall robustness.

Mengting Xu, Shi Gu, Peng Lin et al. · 0 citations

Robust Spiking Neural Networks by Temporal Mutual Information

This work revisits SNN robustness from an information-theoretic perspective and reveals the pivotal role of temporal characteristics, and proposes a Temporal Mutual Information (TMI) regularizer that explicitly exploits temporal characteristics to enhance robustness.

Mengting Xu, Shi Gu, Peng Lin et al. · 0 citations

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