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My current research interest is Multimodal Deepfake Detection, which has the potential to protect society from the misuse of powerful deepfake generation techniques. As more convincing deepfake generation techniques are constantly developed, Deepfake Detection models need to keep pace. My goal is to combine multiple modalities, such as video and audio, to improve the generalizability of Deepfake Detection models to even out-of-domain (unseen) types of forgeries.