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. Results show that people often struggle to distinguish real-time deepfakes from authentic media, while...
| Authors | Guy Frankovits, Lior Yasur, Fred M. Grabovski et al. |
|---|---|
| Primary category | cs.CR |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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