DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks

1 July 2021

Papers citing "DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks"

7 / 7 papers shown

Title
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain Spyridon Raptis Haralampos-G. Stratigopoulos AAML 16 0 0 07 May 2025
Security-Aware Approximate Spiking Neural Networks Syed Tihaam Ahmad Ayesha Siddique K. A. Hoque AAML 8 2 0 12 Jan 2023
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 15 13 0 18 Apr 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 18 13 0 12 Apr 2022
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision Julian Buchel Gregor Lenz Yalun Hu Sadique Sheik M. Sorbaro AAML 17 14 0 06 Oct 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 66 100 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