RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots?
RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots?
This paper investigates how existing deepfake detectors perform when presented with humanoid face robots. The study finds that current detectors flag these robots due to their non-human appearance rather than recognizing forgery. The research includes tests on real and synthesized robot videos, showing that detectors are sensitive to compression and face visibility, but not to synthesis.
Source: arXiv Robotics — research abstracts · Read original article ↗
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ke detectors do when they see a robot face. We test six public detectors trained on FaceForensics++ on video of a physical lip-syncing face robot, on a synthesized video of the same robot, and on rendered robot faces. All thresholds are fixed on FaceForensics++, and every result is compared with real human faces that went through the same processing as the robot videos. At a threshold that flags 5% of real faces, thr
Open source S3
ee detectors flag almost every physical robot frame, while two flag fewer than 7%. A matched human control and masking show that the response comes from the face, not from the processing or the background. However, it does not track synthesis: with only the face visible, three of the six detectors give the physical robot a higher fake score than its synthesized video. The response is also fragile, and light JPEG comp
Open source S4
Source：arXiv Robotics — research abstracts · arxiv.org