2 papers
cs.CR2026
An Open-Source End-to-End FHE Implementation for Privacy-Preserving Llama 3 8B Inference
Yuhang Fan, Yusi Chen, Kanyu Ye +1
Cloud LLM services typically require users to send prompts to a model provider, creating a privacy risk. Fully homomorphic encryption (FHE) lets a server perform inference without…
cs.SE2026
SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
Qi Hu, Yifeng Tang, Qinghua Wang +7
Large language models are increasingly deployed as coding agents, shifting safety from individual responses to action sequences. Existing benchmarks, however, primarily assess whet…