Author

Kutub Uddin

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Preprint Aug 2026

PE-Mamba: Bidirectional Selective Layer Aggregation for AI-Generated Image Detection

AI-generated image (AIGI) detection has become increasingly challenging due to the rapid advancement of generative models and the diminishing gap between synthetic and authentic content. Existing vision transformer-based detectors commonly rely on weighted-sum strategies to aggregate intermediate representations across...

Kutub Uddin, Nusrat Tasnim, K. Malik · 0 citations

Jul 2026

Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning

An uncertainty-aware deepfake detection framework that identifies manipulations through inconsistencies across complementary evidence sources by introducing Inter-Branch Disagreement Calibration (IBDC), a disagreement-aware uncertainty modeling mechanism that links predictive uncertainty to conflicts among evidence str...

Muhammad Umar Farooq, Kutub Uddin, Awais Khan et al. · arXiv.org · 1 citation

Jul 2026

Do Transformations Reveal the Truth? Generative Residual Learning for Generalized AI-Generated Image Detection

This work proposes GenRes, a novel framework for generative residual learning via a neural tensor network, which models fine-grained relational features between original and transformed samples to enhance generalization in scenarios involving multiple generative transformations.

Kutub Uddin, Nusrat Tasnim, Awais Khan et al. · arXiv.org · 2 citations