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Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples

7 September 2022

Nuo Xu

Kaleel Mahmood

Haowen Fang

Ethan Rathbun

Caiwen Ding

Wujie Wen

AAML

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Papers citing "Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples"

41 / 41 papers shown

Title
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 94 3 0 20 Aug 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 77 226 0 09 Feb 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 74 35 0 26 Nov 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 210 2,022 0 01 Jun 2022
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram Peter A. Beerel AAML 76 75 0 06 Oct 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 126 225 0 31 Mar 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 167 498 0 08 Feb 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Mohamed Bennai Ihsen Alouani AAML 65 39 0 09 Dec 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 69 527 0 29 Oct 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 155 530 0 11 Jul 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 58 24 0 18 Jun 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 166 303 0 04 May 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 167 802 0 02 May 2020
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 145 89 0 23 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 227 1,858 0 03 Mar 2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware Guangzhi Tang Neelesh Kumar Konstantinos Michmizos 63 81 0 02 Mar 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 56 404 0 26 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 71 221 0 24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 68 103 0 24 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 285 838 0 19 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network Haowen Fang Amar Shrestha Ziyi Zhao Qinru Qiu 51 120 0 19 Feb 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 97 63 0 01 Jan 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 288 1,211 0 24 Dec 2019
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks Saima Sharmin Priyadarshini Panda Syed Shakib Sarwar Chankyu Lee Wachirawit Ponghiran Kaushik Roy AAML 46 67 0 07 May 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 97 1,240 0 28 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 146 2,559 0 24 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 76 660 0 16 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time S. Shrestha Garrick Orchard 59 752 0 05 Sep 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 75 1,078 0 22 Apr 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 146 490 0 26 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 243 3,194 0 01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 315 12,131 0 19 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,027 0 08 Jun 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 80 566 0 31 May 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 143 1,741 0 08 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 268 8,579 0 16 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,961 1 21 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 387 3,154 0 15 Aug 2013