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Seungmin Rho

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Open access 2026

A Novel Glow Adversarial Attack for Proactive Deepfake Defense

In-depth analyses of various advanced deepfake generation frameworks show that the proposed GlowAttack achieves improved visual quality while maintaining strong transferability at both the model and class levels, thereby exceeding existing adversarial proactive defences.

Maryam Bukhari, M. Maqsood, Miyoung Lee et al. · 0 citations
#machine learning Preprint Sep 2026

Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts

It is demonstrated that high natural-trajectory accuracy can coexist with weak controlled target-state responsiveness in fixed representation-readout pairs and adding responsiveness and context sensitivity to a failure predictor reduces policy-failure prediction error on new initializations relative to the specified ba...

Hyungjoon Kim, Wonbin Son, Mi-Young Lee et al. · 0 citations
Open access Jul 2026

An improved deep learning-based MSA-Net model for small liver tumor segmentation

The findings demonstrate that MSA-Net greatly improves segmentation, particularly in tiny tumors, demonstrating its usefulness in real-world clinical contexts.

Beenish Hina, M. Maqsood, Asma Sattar et al. · 0 citations

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