RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding

29 July 2024

Papers citing "RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding"

5 / 5 papers shown

Title
Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks Jiaqi Lin Abhronil Sengupta AAML 26 0 0 11 Apr 2025
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training Man Yao Xuerui Qiu Tianxiang Hu J. Hu Yuhong Chou Keyu Tian Jianxing Liao Luziwei Leng Bo Xu Guoqi Li 76 6 0 25 Nov 2024
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 117 243 0 24 Feb 2022
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 476 0 08 Feb 2021
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 114 85 0 23 Mar 2020