T-Backdoor: Exploiting Temporal Redundancy in Neuromorphic Data for Spike-preserving Backdoor Attacks on SNNs
The episode discusses the paper "T-Backdoor," which explores how purely temporal triggers can create backdoor attacks on Spiking Neural Networks (SNNs) by manipulating timing like Rate or Latency. Hosts conclude that defenses must shift from checking external spike distributions to monitoring internal temporal dynamics, specifically metrics like the Membrane Temporal Correlation Distance (D MTC), for robust security.