With deepfake technology advancing rapidly, rigorous testing of detection models is essential to counter its growing threat to authenticity in media. On March 15, 2025, we conducted performance tests using an updated XGBoost model, focusing on two specific deepfake examples to assess its accuracy and speed in real-world scenarios. These tests, designed as practical demonstrations,…
As deepfake technology continues to evolve, testing the performance of detection models remains critical to staying ahead of synthetic media threats. On March 15, 2025, we conducted a series of example-based tests using an updated XGBoost model to evaluate its effectiveness in identifying deepfakes across various modalities—videos, audio, and text. These tests serve as practical…