Author

A. Morales

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Preprint Sep 2026

Forensic Twins: Self-Supervised Residual Learning for AI-Generated Image Forensics

Detectors of AI-generated images are typically trained using samples from all Generative AI architectures they must catch, and struggle as soon as a new architecture emerges. Recent approaches have explored self-supervised pre-training as an alternative solution, yet standard frameworks work against the forensic task,...

Javier Muñoz-Haro, Ruben Tolosana, Rubén Vera-Rodríguez et al. · 0 citations

Jul 2026

Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision

Three bias detection approaches are proposed, which characterizes the latent space prior to the final classification layer using neighbor-probability distributions and quantifies bias with the two-sample Kolmogorov-Smirnov test on the per-group distributions.

Ignacio Serna, Aythami Morales, J. Fiérrez · arXiv.org · 3 citations