Author

Hui-Zhen Huang

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#machine learning Preprint Sep 2026

Energy Time-Series Imputation with Differentially Private Diffusion Models via Clipping-Aware Objective Conditioning

Reliable recovery of missing measurements is important for monitoring and analysis in energy time-series systems, where fine-grained measurements may contain sensitive temporal information. Diffusion models trained with differentially private stochastic gradient descent (DP-SGD) provide a promising framework for privac...

Hui-Zhen Huang, Yu Li, Tao Huang et al. · 0 citations

#artificial intelligence Review Sep 2026

ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions

Privacy exposure displacement, the mismatch between a local evaluation proxy and target-grounded session exposure, and ASLEval, an authorization-aware framework that pre-registers a hidden target set, measures all declared visible exits, and reserves internal traces for diagnosis are introduced.

Guo-Xin Wu, Hui-Zhen Huang, Guo-Xiong Long et al. · 0 citations