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Corresponding code for the paper: "Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data", at Network and Distributed System Security (NDSS).

Home Page: https://gorkaabad.github.io/repository_papers/Sneaky-Spikes/index.html

License: MIT License

Python 97.21% Shell 2.79%

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The possible value for neuromorphic dataset

In your paper, you mentioned that the neuromorphic data have four possible values for triggers, and your code also shows that there are four possibilities.

However, my understanding is that neuromorphic data only have three states: -1 represents negative, 0 represents no events, and 1 represents positive. Could you please explain the four possibilities used in your paper, which correspond to the black, light blue, dark blue, and green in your paper?

Thank you for your clarification.

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