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cs.CR2026
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
Chung-ju Huang, Huiqiang Zhao, Yuanpeng He +5
The increasing reliance on cloud-hosted Large Language Models (LLMs) exposes sensitive client data, such as prompts and responses, to potential privacy breaches by service provider…
cs.CR2025
Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning
Zhiyong Jin, Runhua Xu, Chao Li +3
Gradient sparsification, while mitigating communication bottlenecks in Federated Learning (FL), fundamentally alters the geometric landscape of model updates. We reveal that the re…