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"R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural ..."

Alberto Marchisio et al. (2021)

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DOI: 10.1109/IROS51168.2021.9636718

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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  - conf/iros/MarchisioPMM021
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  - https://dblp.org/rec/conf/iros/MarchisioPMM021
Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS 2021: 6315-6321

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