KEYAC dataset benchmarks speech models for keyboard acoustic side-channel attacks, with KAN fine-tuning setting new SOTA by addressing nonlinear feature interactions.
Transforming the embeddings: A lightweight technique for speech emotion recog- nition tasks,
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Impact Analysis of Speech Representation Learning Models for Acoustic Side-Channel Attack
KEYAC dataset benchmarks speech models for keyboard acoustic side-channel attacks, with KAN fine-tuning setting new SOTA by addressing nonlinear feature interactions.