Securing Deep Spiking Neural Networks against Adversarial Attacks
through Inherent Structural Parameters

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters

9 December 2020

Alberto Marchisio

Muhammad Shafique

Papers citing "Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters"

14 / 14 papers shown

Title
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
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 46 3 0 24 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 46 1 0 18 Feb 2025
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 30 3 0 20 Aug 2023
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization Ayesha Siddique K. A. Hoque 19 5 0 12 Jan 2023
Security-Aware Approximate Spiking Neural Networks Syed Tihaam Ahmad Ayesha Siddique K. A. Hoque AAML 23 2 0 12 Jan 2023
Adversarial Defense via Neural Oscillation inspired Gradient Masking Chunming Jiang Yilei Zhang AAML 25 2 0 04 Nov 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 27 12 0 07 Sep 2022
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 23 13 0 18 Apr 2022
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
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram P. Beerel AAML 8 70 0 06 Oct 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique AAML 23 30 0 01 Jul 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 73 100 0 04 Jan 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 106 85 0 23 Mar 2020