Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique 0001. R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 6315-6321, IEEE, 2021. [doi]
@inproceedings{MarchisioPMM021,
title = {R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors},
author = {Alberto Marchisio and Giacomo Pira and Maurizio Martina and Guido Masera and Muhammad Shafique 0001},
year = {2021},
doi = {10.1109/IROS51168.2021.9636718},
url = {https://doi.org/10.1109/IROS51168.2021.9636718},
researchr = {https://researchr.org/publication/MarchisioPMM021},
cites = {0},
citedby = {0},
pages = {6315-6321},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
publisher = {IEEE},
isbn = {978-1-6654-1714-3},
}