4 citations · 7 across the 4 of their papers we have counts for
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cs.CR2025★ 4 cited
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
Pengxin Guo, Runxi Wang, Shuang Zeng +7
Federated Learning (FL) has emerged as a promising privacy-preserving collaborative model training paradigm without sharing raw data. However, recent studies have revealed that pri…
eess.IV2025★ 2 cited
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
Weiren Zhao, Feng Wang, Yanran Wang +3
Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. Wh…