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2003.10399
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Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
European Conference on Computer Vision (ECCV), 2020
23 March 2020
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
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Papers citing
"Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations"
49 / 49 papers shown
MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization
Portuguese Conference on Artificial Intelligence (EPIA), 2025
Runhao Jiang
Chengzhi Jiang
Rui Yan
Huajin Tang
AAML
300
2
0
15 Nov 2025
Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
Nhan T. Luu
Luu Trung Duong
Pham Ngoc Nam
Truong Cong Thang
AAML
282
1
0
28 Sep 2025
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Qianyi Bai
Haiteng Wang
Qiang Yu
185
0
0
03 Sep 2025
Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
D. Kang
Doohyun Kim
Sang-Ki Ko
Jinkyu Lee
Hyeongboo Baek
Brent ByungHoon Kang
AAML
144
0
0
19 Aug 2025
Adversarially Robust Spiking Neural Networks with Sparse Connectivity
Mathias Schmolli
Maximilian Baronig
Robert Legenstein
Ozan Özdenizci
AAML
229
0
0
16 May 2025
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
Ayana Moshruba
Hamed Poursiami
Maryam Parsa
322
2
0
07 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
323
0
0
07 May 2025
On the Adversarial Robustness of Spiking Neural Networks Trained by Local Learning
Jiaqi Lin
Abhronil Sengupta
AAML
414
0
0
11 Apr 2025
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement
Computer Vision and Pattern Recognition (CVPR), 2025
Shu Yang
Chao Yu
Lei Liu
Hanzhi Ma
Aili Wang
Erping Li
406
7
0
20 Mar 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
Computer Vision and Pattern Recognition (CVPR), 2025
Li Lun
Kunyu Feng
Qinglong Ni
Ling Liang
Yuan Wang
Ying Li
Dunshan Yu
Xiaoxin Cui
AAML
311
10
0
05 Mar 2025
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Neural Information Processing Systems (NeurIPS), 2024
Chengting Yu
Lei Liu
Gaoang Wang
Erping Li
Aili Wang
329
9
0
15 Oct 2024
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Lingxin Jin
Meiyu Lin
Wei Jiang
Jinyu Zhan
AAML
SILM
234
3
0
24 Sep 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding
ACM Multimedia (MM), 2024
Keming Wu
Man Yao
Yuhong Chou
Xuerui Qiu
Rui Yang
Boxing Xu
Guoqi Li
AAML
264
11
0
29 Jul 2024
Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
AAML
368
15
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
307
17
0
30 May 2024
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
211
2
0
07 May 2024
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
AAML
284
7
0
01 Feb 2024
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
Siddharth Mansingh
Michal Kucer
Garrett Kenyon
Juston S. Moore
Michael Teti
AAML
384
2
0
21 Jan 2024
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Souvik Kundu
Rui-jie Zhu
Akhilesh R. Jaiswal
Peter A. Beerel
298
8
0
02 Dec 2023
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhanfeng Liao
Qian Zheng
Yan Liu
Gang Pan
282
16
0
15 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion
Ozan Özdenizci
Robert Legenstein
AAML
416
15
0
15 Nov 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
460
5
0
20 Aug 2023
Discretization-based ensemble model for robust learning in IoT
International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous), 2023
Anahita Namvar
Chandra Thapa
S. Kanhere
AAML
OOD
239
4
0
18 Jul 2023
Spike timing reshapes robustness against attacks in spiking neural networks
Jianhao Ding
Zhaofei Yu
Tiejun Huang
Jian K. Liu
AAML
287
4
0
09 Jun 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
556
37
0
25 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
302
21
0
25 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
544
4
0
28 Mar 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
217
57
0
26 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
280
4
0
04 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
368
33
0
17 Oct 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
Neurocomputing (Neurocomputing), 2022
Nuo Xu
Kaleel Mahmood
Haowen Fang
Ethan Rathbun
Caiwen Ding
Wujie Wen
AAML
498
16
0
07 Sep 2022
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Beibei Wang
Bo Jiang
GNN
273
6
0
05 Sep 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
International Symposium on Low Power Electronics and Design (ISLPED), 2022
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
164
24
0
20 Jun 2022
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Neurocomputing (Neurocomputing), 2022
Sami Barchid
José Mennesson
J. Eshraghian
Chaabane Djéraba
Bennamoun
211
43
0
13 Jun 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Ramashish Gaurav
B. Tripp
Apurva Narayan
235
9
0
14 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
IEEE VLSI Test Symposium (VTS), 2022
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
289
14
0
18 Apr 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
382
112
0
03 Feb 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Youngeun Kim
Hyoungseob Park
Abhishek Moitra
Abhiroop Bhattacharjee
Yeshwanth Venkatesha
Priyadarshini Panda
AAML
MQ
266
95
0
31 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
427
31
0
21 Jan 2022
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Buchel
Gregor Lenz
Yalun Hu
Sadique Sheik
M. Sorbaro
AAML
342
20
0
06 Oct 2021
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
256
108
0
06 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
543
315
0
01 Aug 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
355
36
0
01 Jul 2021
Federated Learning with Spiking Neural Networks
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
167
69
0
11 Jun 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
279
51
0
26 Apr 2021
PrivateSNN: Privacy-Preserving Spiking Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
276
30
0
07 Apr 2021
Visual Explanations from Spiking Neural Networks using Interspike Intervals
Scientific Reports (Sci Rep), 2021
Youngeun Kim
Priyadarshini Panda
AAML
FAtt
197
55
0
26 Mar 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Design, Automation and Test in Europe (DATE), 2020
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
240
50
0
09 Dec 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Frontiers in Neuroscience (Front. Neurosci.), 2020
Youngeun Kim
Priyadarshini Panda
600
203
0
05 Oct 2020
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