Impact Analysis of Speech Representation Learning Models for Acoustic Side-Channel Attack

arXiv:2606.21210 · cs.CR · Submitted 2026-06-19 · Read on arXiv

cs.CR

Submitted: 2026-06-19

Updated: 2026-09-21

Terminology

• Generalization — 28× in this paper · explained in 13 episodes
• Fine-Tuning — 14× in this paper · explained in 5 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Representation Learning — 11× in this paper · explained in 2 episodes
• Acoustic Side-Channel — 8× in this paper · explained in 1 episode
• Adaptation — 8× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Kolmogorov-Arnold Networks — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Acoustic Echo Cancellation (AEC) — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Existing Acoustic Side-Channel Attack — 1× in this paper
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Kolmogorov-Arnold Networks (KAN) — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards
• Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms' "Typo" Correction
• XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
• Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks
• KAN: Kolmogorov-Arnold Networks
• SUPERB: Speech processing Universal PERformance Benchmark
• From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
• FOCA: Multimodal Malware Classification via Hyperbolic Cross-Attention
• GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution

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