Memristive hardware can increase SNN model-inversion leakage
Neuron-threshold faults raised reconstruction SSIM by up to 51.8%, while weight noise reduced leakage across four datasets.
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Stories tagged #spiking-neural-networks
DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness
Researchers introduce DyssomniaNN, a spiking model of five sleep-disorder cohorts showing sleep time poorly predicts restedness.
SpikeLite: Lightweight Spiking Neural Networks for Time-Series Forecasting
SpikeLite uses frequency-selective spiking encoding and sparse channel attention for energy-efficient time-series forecasting.
T-Backdoor: Exploiting Temporal Redundancy in Neuromorphic Data for Spike-preserving Backdoor Attacks on SNNs
T-Backdoor uses purely temporal triggers to backdoor spiking neural networks, reaching about 100% success against seven defenses.
Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
An event-native spike encoding framework lets recurrent spiking neural networks run intrusion detection directly on heterogeneous packet and CAN bus streams.