1 citations · 1 across the 10 of their papers we have counts for
Showing cs.SDShow all
3 papers · 1 filter
cs.SD2026
BreathNet: Generalizable Audio Deepfake Detection via Breath-Cue-Guided Feature Refinement
Zhe Ye, Xiangui Kang, Jiayi He +5
As deepfake audio becomes more realistic and diverse, developing generalizable countermeasure systems has become crucial. Existing detection methods primarily depend on XLS-R front…
cs.SD2025
Manipulated Regions Localization For Partially Deepfake Audio: A Survey
Jiayi He, Jiangyan Yi, Jianhua Tao +2
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 th…
cs.SD2025
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
Hao Gu, Jiangyan Yi, Chenglong Wang +6
Audio deepfake detection (ADD) has grown increasingly important due to the rise of high-fidelity audio generative models and their potential for misuse. Given that audio large lang…