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20242026
most citedPrivacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy

1 citations · 1 across the 3 of their papers we have counts for

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cs.CR2026

Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)

Yu Lin, Qizhi Zhang, Wenqiang Ruan +6

The rapid development of large language models (LLMs) has driven the widespread adoption of cloud-based LLM inference services, while also bringing prominent privacy risks associat…

cs.CR2025

OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices

Yunlong Mao, Mingyang Niu, Ziqin Dang +7

Efficient and secure federated learning (FL) is a critical challenge for resource-limited devices, especially mobile devices. Existing secure FL solutions commonly incur significan…