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cs.CV2026
Exposing and Mitigating Temporal Attack in Deepfake Video Detection
Zheyuan Gu, Minghao Shao, Zhen Wang +4
While spatiotemporal deepfake detectors achieve high AUC, our experiments reveal their susceptibility to evasion attacks. These models tend to overfit on fragile temporal spectrum…
cs.CV2026
Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models
Zheyuan Gu, Qingsong Zhao, Yusong Wang +6
Current Vision-Language Models (VLMs) for deepfake detection excel at identifying spatial artifacts but overlook a critical dimension: temporal inconsistencies in video forgeries.…