Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation

Donghwa Kang, Doohyun Kim, Sang-Ki Ko +3

State-of-the-art (SOTA) gradient-based adversarial attacks on spiking neural networks (SNNs), which largely rely on extending FGSM and PGD frameworks, face a critical limitation: s…