A specialized dual-stream framework that strategically integrates features from both spatial and frequency domains to disentangle the fingerprints of heterogeneous generators is proposed, addressing two critical tasks: binary real/fake detection and closed-set source attribution across 10 distinct generative architectures.
This work introduces a dual-branch ensemble framework fusing Semantic Deep Learning with Mathematical Forensic Feature Extraction, highlighting the practicality and scalability of mathematical forensics for real-world deployment.
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.
The proliferation of hyper-realistic AI-generated images poses significant threats to digital information integrity and forensic accountability. Existing detection methodologies, however, face three critical bottlenecks: vulnerability to real-world distortions such as social media compression, inadequate specialization...
Wen-Peng Mu, Qiang Xu, Yi-Ning Zhang et al.· IEEE Transactions on Informa...· 1 citation
Overall, GenPix provides a challenging and realistic benchmark for evaluating modern detectors, and the proposed AAE offers an efficient, interpretable baseline for future research on general-purpose fake-image detection.
Guessoum Dalila, B. Nadjia, Boumahdi Fatima et al.· Iraqi Journal for Computer S...· 0 citations
This work formulates AI-generated video attribution as an instance retrieval task, and design a generative fingerprint-based pipeline, which achieves strong performance in both AI-generated video detection and attribution.
R. Cheng, Chaolei Han, Jie Gui et al.· arXiv.org· 0 citations
The proposed Attention-Based Deep Learning Pipeline of AI-Created Image Recognition incorporates three integrated branches, including low-level statistical feature extraction, high-level semantic representation learning, and attention-based feature refinement mechanism, which support the robustness and generalization a...
Nadia Ali· Al-Noor Journal of Engineeri...· 0 citations
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