Three new papers on deepfake detection published on ArXiv

We have newly released three papers (currently under peer review) on arXiv related to deepfake detection in images and audio. If you are interested, please click on each title to view the corresponding preprint.

Xin Wang, Wanying Ge, Junichi Yamagishi, “Towards Data Drift Monitoring for Speech Deepfake Detection in the context of MLOps,” Sept. 2025

Preprint: https://arxiv.org/abs/2509.10086
Source code: https://github.com/nii-yamagishilab/AntiDeepfake

Xuechen Liu, Xin Wang, Junichi Yamagishi, “Frustratingly Easy Zero-Day Audio DeepFake Detection via Retrieval Augmentation and Profile Matching“, Sept. 2025

Preprint: https://arxiv.org/abs/2509.21728
Source code: To be released later

Tai-Ming Huang, Wei-Tung Lin, Kai-Lung Hua, Wen-Huang Cheng, Junichi Yamagishi, Jun-Cheng Chen “ ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection ”, Sept. 2025 (Collaboration with Academia Sinica, Taiwan)

Preprint: https://arxiv.org/abs/2509.19841
Source code: To be released later

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