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DeDiAttack: Enhancing Transferability of Unrestricted Adversarial Examples via Deformation-Constrained Diffusion.

Sensors (Basel) · 2026 · PMC13166013 · PMID 42122545

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Recent studies, such as Latent Transfer Attack (LTA) [ 21 ], Improving Adversarial Transferability and Imperceptibility with Loss Landscape and Diffusion Model [ 22 ], and NatADiff [ 23 ], further indicate that latent-space adversarial optimization has become an important trend for jointly improving transferability and visual naturalness.

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