定位部分伪造音频的篡改区域，提升检测精度。
Manipulated Regions Localization For Partially Deepfake Audio: A Survey
- 提出系统性方法框架，识别部分伪造音频的篡改区域。
- 梳理现有技术分支，揭示当前局限与未来方向。
- 适合音频安全、深度伪造检测研究者参考。
随着音频深度伪造技术的发展，部分伪造音频攻击逐渐增多。相较于完全伪造，由于篡改区域隐蔽，更难被检测器发现，带来更高的安全风险。尽管已有相关研究，但尚无全面综述系统介绍该问题的现状与发展趋势。因此，本文首次对部分伪造音频篡改区域定位任务进行了系统性梳理，涵盖基础概念、现有方法分支、当前局限及潜在发展方向，为该领域提供深入洞察。
原文摘要 · Abstract (English)
With the development of audio deepfake techniques, attacks with partially deepfake audio are beginning to rise. Compared to fully deepfake, it is much harder to be identified by the detector due to the partially cryptic manipulation, resulting in higher security risks. Although some studies have been launched, there is no comprehensive review to systematically introduce the current situations and development trends for addressing this issue. Thus, in this survey, we are the first to outline a systematic introduction for partially deepfake audio manipulated region localization tasks, including the fundamentals, branches of existing methods, current limitations and potential trends, providing a revealing insight into this scope.
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