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ChatGPT Shows Potential in Face Presentation Attack Detection

/ 1 min read

🤖🔍 ChatGPT shows promise in Face Presentation Attack Detection. A study reveals that ChatGPT (GPT-4o) can effectively compete with existing Face Presentation Attack Detection (PAD) models, outperforming several commercial solutions in specific scenarios. The model excels in few-shot in-context learning, improving its performance with more examples and demonstrating high consistency. Detailed prompts enhance its reliability, while explanation-seeking prompts boost interpretability. Notably, GPT-4o exhibits emergent reasoning, accurately predicting attack types without explicit instructions. However, it struggles in zero-shot tasks compared to specialized PAD systems. Conducted on a subset of the SOTERIA dataset, the research emphasizes GPT-4o’s potential in PAD applications and highlights the need for further exploration of data privacy and cross-dataset generalization.

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