BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron

ArXi:2602.07200v2 Announce Type: replace-cross Spiking Neural Networks (SNNs) are energy-efficient counterparts of Deep Neural Networks (DNNs) with high biological plausibility, as information is transmitted through temporal spiking patterns. The core element of an SNN is the spiking neuron, which converts input data into spikes following the Leaky Integrate-and-Fire (LIF) neuron model. This model includes several important hyperparameters, such as the membrane potential threshold and membrane time constant.