no code implementations • 18 Feb 2023 • Chunming Jiang, Yilei Zhang
In this paper, we propose a novel k-based leaky Integrate-and-Fire (KLIF) neuron model to improve the learning ability of SNNs.
no code implementations • 10 Nov 2022 • Chunming Jiang, Yilei Zhang
With spike-based BP, training high-precision SNNs typically consumes dozens of times more computational resources and time than their ANN counterparts.
no code implementations • 8 Nov 2022 • Chunming Jiang, Yilei Zhang
Sparse representation has attracted great attention because it can greatly save storage re- sources and find representative features of data in a low-dimensional space.
no code implementations • 4 Nov 2022 • Chunming Jiang, Yilei Zhang
Furthermore, we propose a defense method that changes model's gradients by replacing the form of oscillation, which hides the original training gradients and confuses the attacker into using gradients of 'fake' neurons to generate invalid adversarial samples.