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SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Dai, Zeyu, Liu, Shengcai, He, Rui, Wu, Jiahao, Lu, Ning, Fan, Wenqi, Li, Qing, Tang, Ke
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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