SOURCE-LINKED INTELLIGENCE
Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks
This paper presents DF-CAPTCHA, an active defense against real-time deepfake impersonation in voice and video calls. Instead of passively searching for artifacts, DF-CAPTCHA prompts the caller to perform simple challenge-response tasks that are easy for humans but difficult for current real-time deepfake systems to generate convincingly. The framework verifies the response using four criteria: realism, identity consistency, task completion, and response time. We evaluate the approach across both audio and video modalities using user studies and experiments with real-time deepfake models. Resul
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T11:35:11.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.