3 papers
cs.CR2026
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
Guanlong Wu, Ju Yang, Zhen Huang +4
Trusted Execution Environments (TEEs)-aided federated learning protocols emerge as promising solutions to counter server-side adversaries and ensure the trustworthiness of the serv…
cs.CR2026
CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference
Guanlong Wu, Zhaohan li, Yao Zhang +4
Large Language Models (LLMs) rely on Key-Value (KV) caching to accelerate inference, and many serving systems further share the KV cache across users' requests to reduce redundant…
cs.CR2025
NetEcho: From Real-World Streaming Side-Channels to Full LLM Conversation Recovery
Zheng Zhang, Guanlong Wu, Sen Deng +2
In the rapidly expanding landscape of Large Language Model (LLM) applications, real-time output streaming has become the dominant interaction paradigm. While this enhances user exp…