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Author

T. Rizwan

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Jul 2026

MorphUNet: Alpha-Controlled Biometric Transport for Diffusion-Based Face Morphing Attacks

MorphUNet is the first diffusion-based morphing framework using trainable parent-separated dual cross-attention inside the denoising U-Net: a Biometric Transport Layer carrying parent-specific identity evidence through denoising, attending to each parent separately before combining residuals via the morphing parameter...

T. Rizwan, Sara Atito, Zhenhua Feng et al. · 0 citations
Jul 2026

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

Generative diffusion models have revolutionized facial image synthesis, yet robust identity preservation in high resolution outputs remains a critical challenge. This issue is especially vital for security systems, biometric authentication, and privacy sensitive applications, where any drift in identity integrity can u...

T. Rizwan, Sara Atito, Muhammad Awais et al. · 0 citations

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