Deepfake Detection

Multilingual dataset construction and analysis for robust deepfake content detection and optimization.

Deepfake Content Analysis

We construct multilingual datasets and optimize detection models for deepfake content across languages.

Feature Extraction Insights
A computer screen displays a software interface with a dropdown menu in a language other than English, possibly Italian. The interface appears to be related to graphic design or image editing, with options like 'Artistico' and 'Texture' visible. The overall appearance is slightly blurred and has a red hue from reflections or lighting conditions.
A computer screen displays a software interface with a dropdown menu in a language other than English, possibly Italian. The interface appears to be related to graphic design or image editing, with options like 'Artistico' and 'Texture' visible. The overall appearance is slightly blurred and has a red hue from reflections or lighting conditions.

Utilizing GPT-4 to analyze linguistic features and generation patterns in deepfake content.

A street signpost with multiple directional signs in different languages, including English and Chinese, stands in an urban setting. The background features a tall building, lush green trees, and a bright blue sky with some clouds.
A street signpost with multiple directional signs in different languages, including English and Chinese, stands in an urban setting. The background features a tall building, lush green trees, and a bright blue sky with some clouds.
A laptop screen displaying the OpenAI logo and text. The laptop keyboard is visible below, with keys illuminated in a dimly lit environment.
A laptop screen displaying the OpenAI logo and text. The laptop keyboard is visible below, with keys illuminated in a dimly lit environment.
Model Fine-Tuning

Fine-tuning GPT-4 enhances accuracy and robustness for deepfake detection in various languages.

Unified Evaluation Framework

Comprehensive testing and benchmarking of detection models in multilingual environments.