H. Stratigopoulos

Sponge attacks can inflate the energy consumption of Spiking Neural Networks by up to 2.6 times without compromising classification accuracy, posing a serious threat to battery-operated edge devices.

Achieving over 99% accuracy in RF signal recognition tasks while maintaining a latency of just 98 µs per frame could revolutionize spectrum intelligence applications on edge devices.