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A Comprehensive Analysis on Adversarial Robustness of Spiking Neural
  Networks

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks

7 May 2019
Saima Sharmin
Priyadarshini Panda
Syed Shakib Sarwar
Chankyu Lee
Wachirawit Ponghiran
Kaushik Roy
    AAML
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Papers citing "A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks"

13 / 13 papers shown
Title
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
26
0
0
07 May 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
Junyi Guan
Abhijith Sharma
Chong Tian
Salem Lahlou
AAML
49
1
0
18 Feb 2025
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
30
3
0
20 Aug 2023
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
27
2
0
04 Nov 2022
Attacking the Spike: On the Transferability and Security of Spiking
  Neural Networks to Adversarial Examples
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
27
12
0
07 Sep 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Ramashish Gaurav
B. Tripp
Apurva Narayan
30
8
0
14 May 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Muhammad Shafique
26
13
0
18 Apr 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Ling Liang
Kaidi Xu
Xing Hu
Lei Deng
Yuan Xie
AAML
29
13
0
12 Apr 2022
Deep Reinforcement Learning with Spiking Q-learning
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
25
20
0
21 Jan 2022
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Muhammad Shafique
AAML
25
30
0
01 Jul 2021
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
25
48
0
27 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,833
0
08 Jul 2016
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