Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.05321
Cited By
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Design, Automation and Test in Europe (DATE), 2020
9 December 2020
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters"
23 / 23 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
286
2
0
15 Nov 2025
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Qianyi Bai
Haiteng Wang
Qiang Yu
181
0
0
03 Sep 2025
TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
Deming Zhou
Yuetong Fang
Zhaorui Wang
Zhanchen Zhu
217
1
0
06 Aug 2025
Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions
IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), 2025
Alberto Marchisio
Muhammad Shafique
228
2
0
24 Jul 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
289
0
0
07 May 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
296
9
0
05 Mar 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
AAML
330
7
0
24 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Junyi Guan
Abhijith Sharma
Chong Tian
Salem Lahlou
AAML
505
2
0
18 Feb 2025
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
International Conference on Control, Automation, Robotics and Vision (ICARCV), 2024
Rachmad Vidya Wicaksana Putra
Alberto Marchisio
F. Zayer
Jorge Dias
Mohamed Bennai
287
20
0
04 Apr 2024
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
444
4
0
20 Aug 2023
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
F. Nikfam
Raffaele Casaburi
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
342
8
0
10 Aug 2023
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices
Kai Malcolm
Josue Casco-Rodriguez
210
22
0
19 Mar 2023
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Design, Automation and Test in Europe (DATE), 2023
Ayesha Siddique
K. A. Hoque
178
7
0
12 Jan 2023
Security-Aware Approximate Spiking Neural Networks
Design, Automation and Test in Europe (DATE), 2023
Syed Tihaam Ahmad
Ayesha Siddique
K. A. Hoque
AAML
164
4
0
12 Jan 2023
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
225
4
0
04 Nov 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
485
16
0
07 Sep 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
276
14
0
18 Apr 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Neural Information Processing Systems (NeurIPS), 2022
Ling Liang
Kaidi Xu
Xing Hu
Lei Deng
Yuan Xie
AAML
182
23
0
12 Apr 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
252
107
0
06 Oct 2021
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Mohamed Bennai
Alberto Marchisio
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
279
44
0
20 Sep 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
347
36
0
01 Jul 2021
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi
Kaushik Roy
450
152
0
09 Aug 2020
Deep Learning in the Automotive Industry: Applications and Tools
André Luckow
M. Cook
Nathan Ashcraft
Edwin Weill
Emil Djerekarov
Bennie Vorster
270
120
0
30 Apr 2017
1
Page 1 of 1
