Discrete optimal transport is a strong audio adversarial attack

arXiv:2509.14959 · eess.AS, cs.AI · Submitted 2025-09-18 · Read on arXiv

eess.AS, cs.AI

Submitted: 2025-09-18

Updated: 2026-09-22

Terminology

• Embeddings — 22× in this paper · explained in 2 episodes
• Optimal Transport — 19× in this paper · explained in 5 episodes
• Verification — 14× in this paper · explained in 2 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Transferability — 7× in this paper · explained in 4 episodes
• Anti-Spoofing Systems — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Adversarial Examples — 2× in this paper · explained in 2 episodes
• Adversarial Transferability — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Optimal Transport (OT) — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Centre for Speech Technology Research — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• In International Conference on Learning Representations — 1× in this paper
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Did you hear that? Adversarial Examples Against Automatic Speech Recognition
• Optimal Transport Maps are Good Voice Converters
• AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
• Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

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