Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs
Published:Dec 21, 2025 16:31
•1 min read
•ArXiv
Analysis
This article presents research on audio deepfake detection using Quantum-Kernel Support Vector Machines (SVMs). The focus is on improving the reliability of detection under varying conditions, which is a crucial aspect of real-world applications. The use of quantum-kernel SVMs suggests an attempt to leverage quantum computing principles for enhanced performance. The source being ArXiv indicates this is a pre-print or research paper, suggesting the findings are preliminary and subject to peer review.
Key Takeaways
- •Focuses on audio deepfake detection.
- •Employs Quantum-Kernel SVMs.
- •Aims to improve reliability under variable conditions.
- •Published on ArXiv, indicating a research paper.
Reference
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