Author

G. Bychkov

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#artificial intelligence Preprint Sep 2026

REALIS: A Curated Dataset for Studying the Challenges of AI Image Detection

AI-generated image detectors are often evaluated on benchmarks where real and synthetic images differ in content, quality, or generation artifacts, allowing models to rely on dataset-specific cues and fail on unfamiliar generators or processed images. Existing datasets provide limited support for evaluating these chall...

A. Gushchin, Khaled Abud, G. Bychkov et al. · 0 citations

Open access Sep 2026

Improving Adversarial Transferability in No-Reference Image Quality Assessment via Consensus-Guided Distillation and Local Perceptual Attack

No-reference image quality assessment (NR-IQA) metrics are widely used to evaluate and train image and video processing algorithms, but the growing reliance on deep neural networks makes these metrics vulnerable to adversarial attacks. Among such attacks, transferable black-box methods are particularly relevant in real...

A. Dolgolenko, G. Bychkov, D. Vatolin · Big Data and Cognitive Compu... · 0 citations