RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots?

Summary

Researchers test whether current face presentation attack detection (PAD) and deepfake detectors can catch RoboFakes, which are humanoid face robots carrying a real person's face and driven by generated speech. Across three PAD models and six deepfake detectors, results vary widely: a small mobile PAD model flags every physical robot frame (APCER 0%) but reaches 14% BPCER on processed human video, while several deepfake detectors flag almost every robot frame and others flag fewer than 7%. The authors conclude that current models catch today's robots mainly because their faces do not look human, not because they recognize the attack.

Topics

• Deepfakes and impersonation
• Robotics and embodied AI

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