OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training
Authors: Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive results across several benchmark datasets demonstrate that our approach performs favorably against existing arts in terms of generalization to unseen data and robustness to different post-processing steps. and 4 Experiments This section first presents the setups and then shows extensive experimental results to demonstrate the superiority of our approach. |
| Researcher Affiliation | Collaboration | Liang Chen1 Yong Zhang2 Yibing Song2 Jue Wang2 Lingqiao Liu1 1 The University of Adelaide 2 Tencent AI Lab |
| Pseudocode | Yes | Algorithm 1 One-shot online training and Algorithm 2 Offline meta-training |
| Open Source Code | Yes | Code is available at https://github.com/liangchen527/OST. |
| Open Datasets | Yes | Following the protocols in existing deepfake detection methods [28, 35, 57], we use the data in the Faceforencis++ (FF++) dataset [43] for training. |
| Dataset Splits | Yes | This dataset contains 1000 videos, in which 720 videos are used for training, 140 videos are reserved for verification, and the rest are used for test. |
| Hardware Specification | No | The main paper states See the supplementary material for hardware specifications, meaning they are not provided in the main text. |
| Software Dependencies | No | The paper mentions software components like Xception, DLIB, and Adam optimizer but does not specify their version numbers. |
| Experiment Setup | Yes | We use the Adam optimizer [26] for optimizing the network with β1 = 0.9 and β1 = 0.999, and the meta-batch size is set to be 20. The learning rates for the inner update (i.e. γ in Eq. (1) and (2)) and meta update (i.e. λ in Eq. (2)) are fixed as 0.0005 and 0.0002 for both the offline and online training phases. |