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cs.LG2025
Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Anh Bui, Trang Vu, Trung Le +5
In this paper, we investigate the semantic collapsing problem in generative personalization, an under-explored topic where the learned visual concept () gradually shifts from it…
cs.LG2023★ 1 cited
Adversarial Robustness on Image Classification with -means
Rollin Omari, Junae Kim, Paul Montague
In this paper we explore the challenges and strategies for enhancing the robustness of -means clustering algorithms against adversarial manipulations. We evaluate the vulnerabil…