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Rachana Patil

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Open access Aug 2026

Deepfakebuster: a confidence-calibrated adaptive ensemble framework for robust Deepfake image detection

DeepFakeBuster is presented as a confidence-calibrated adaptive ensemble for deepfake image detection by fusing together heterogeneous deep learning models built around detecting complementary forensic cues e.g., spatial inconsistencies, boundary artifacts, noise residuals, semantic consistency, and frequency-domain features.

Rachana Patil, R. Shinde, S. Patil et al. · 0 citations

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