Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Researchers developed novel 'dropin' and 'plasticity' algorithms inspired by brain neuroplasticity to improve deepfake audio detection efficiency. The methods dynamically adjust neuron counts in model layers, achieving up to 66% reduction in error rates while improving computational efficiency across multiple architectures including ResNet and Wav2Vec.