HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise

6 October 2021

Papers citing "HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise"

49 / 49 papers shown

Title
Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks Jiaqi Lin Abhronil Sengupta AAML 31 0 0 11 Apr 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition Zeqi Zheng Yanchen Huang Yingchao Yu Zizheng Zhu Junfeng Tang Zhaofei Yu Yaochu Jin 39 0 0 20 Mar 2025
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement Shu Yang Chao Yu Lei Liu Hanzhi Ma Aili Wang Erping Li 47 0 0 20 Mar 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients Li Lun Kunyu Feng Qinglong Ni Ling Liang Yuan Wang Ying Li Dunshan Yu Xiaoxin Cui AAML 81 0 0 05 Mar 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks Kairong Yu Chengting Yu Tianqing Zhang Xiaochen Zhao Shu Yang Hongwei Wang Qiang Zhang Qi Xu 71 3 0 05 Mar 2025
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media Ning Zhang Timothy Shea A. Nurmikko 31 0 0 08 Jan 2025
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation Chengting Yu Lei Liu Gaoang Wang Erping Li Aili Wang 26 1 0 15 Oct 2024
Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting Weixing Zhang Zehan Li De Ma Huajin Tang Xudong Jiang Qian Zheng Gang Pan 30 0 0 09 Oct 2024
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning Manh V. Nguyen Liang Zhao Bobin Deng William M. Severa Honghui Xu Shaoen Wu FedML 32 0 0 19 Sep 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding Keming Wu Man Yao Yuhong Chou Xuerui Qiu Rui Yang Boxing Xu Guoqi Li AAML 35 4 0 29 Jul 2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation Zekai Xu Kang You Qinghai Guo Xiang Wang Zhezhi He 36 3 0 12 Jul 2024
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network Hyunseok Oh Youngki Lee 48 1 0 01 Jul 2024
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition Liutao Yu Liwei Huang Chenlin Zhou Han Zhang Zhengyu Ma Huihui Zhou Yonghong Tian ViT 57 4 0 21 Jun 2024
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network Runhua Jiang Guodong Du Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang 46 3 0 04 Jun 2024
Robust Stable Spiking Neural Networks Jianhao Ding Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang AAML 38 5 0 31 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 37 3 0 30 May 2024
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition Naichuan Zheng Hailun Xia Zeyu Liang 44 1 0 16 Apr 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention Chenlin Zhou Han Zhang Zhaokun Zhou Liutao Yu Liwei Huang Xiaopeng Fan Liuliang Yuan Zhengyu Ma Huihui Zhou Yonghong Tian 55 16 0 25 Mar 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Zhaokun Zhou Kaiwei Che Wei Fang Keyu Tian Yuesheng Zhu Shuicheng Yan Yonghong Tian Liuliang Yuan ViT 41 28 0 04 Jan 2024
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology Souvik Kundu Rui-jie Zhu Akhilesh R. Jaiswal P. Beerel 43 4 0 02 Dec 2023
Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices Gaoxiang Duan Junkai Zhang Xiaoying Zheng Yongxin Zhu 36 2 0 22 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 38 8 0 15 Nov 2023
Fully Spiking Neural Network for Legged Robots Xiaoyang Jiang Qiang Zhang Jingkai Sun Jiahang Cao Jingtong Ma Renjing Xu 22 5 0 08 Oct 2023
SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World Xing-Hua Yao Qinghao Hu Tielong Liu Zitao Mo Zeyu Zhu Zhengyang Zhuge Jia Cheng 28 3 0 20 Sep 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 34 3 0 20 Aug 2023
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications Zhanglu Yan Shida Wang Kaiwen Tang Wong-Fai Wong 16 1 0 16 Aug 2023
Spike-driven Transformer Man Yao Jiakui Hu Zhaokun Zhou Liuliang Yuan Yonghong Tian Boxing Xu Guoqi Li 34 118 0 04 Jul 2023
Spike timing reshapes robustness against attacks in spiking neural networks Jianhao Ding Zhaofei Yu Tiejun Huang Jian K. Liu AAML 27 2 0 09 Jun 2023
Auto-Spikformer: Spikformer Architecture Search Kaiwei Che Zhaokun Zhou Zhengyu Ma Wei Fang Yanqing Chen Shuaijie Shen Liuliang Yuan Yonghong Tian 29 4 0 01 Jun 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks Youngeun Kim Yuhang Li Abhishek Moitra Ruokai Yin Priyadarshini Panda 28 10 0 26 May 2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network Man Yao Yu-Liang Chou Guangshe Zhao Xiawu Zheng Yonghong Tian Boxing Xu Guoqi Li 36 4 0 20 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li Youngeun Kim Hyoungseob Park Priyadarshini Panda 32 16 0 25 Apr 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network Chenlin Zhou Liutao Yu Zhaokun Zhou Zhengyu Ma Han Zhang Huihui Zhou Yonghong Tian 33 61 0 24 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices Kai Malcolm Josue Casco-Rodriguez 30 15 0 19 Mar 2023
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs Souvik Kundu Sairam Sundaresan S. N. Sridhar Shunlin Lu Han Tang P. Beerel AAML MoE 44 4 0 27 Dec 2022
Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou Yuesheng Zhu Chao He Yaowei Wang Shuicheng Yan Yonghong Tian Liuliang Yuan 145 243 0 29 Sep 2022
Attention Spiking Neural Networks Man Yao Guangshe Zhao Hengyu Zhang Yifan Hu Lei Deng Yonghong Tian Bo Xu Guoqi Li 30 161 0 28 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 29 12 0 07 Sep 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 27 46 0 04 Jul 2022
A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model Daniel Casanueva-Morato A. Ayuso-Martinez Juan P. Dominguez-Morales Angel Jimenez-Fernandez Gabriel Jimenez-Moreno 18 8 0 10 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 39 6 0 03 Jun 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 31 13 0 12 Apr 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications Gourav Datta Souvik Kundu Zihan Yin R. T. Lakkireddy Joe Mathai A. Jacob P. Beerel Akhilesh R. Jaiswal 21 36 0 07 Mar 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? Youngeun Kim Hyoungseob Park Abhishek Moitra Abhiroop Bhattacharjee Yeshwanth Venkatesha Priyadarshini Panda AAML MQ 34 66 0 31 Jan 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 26 88 0 23 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta P. Beerel 46 37 0 22 Dec 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 86 0 23 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 481 0 26 Mar 2018