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Preprint Oct 2026

InferPriv: Evaluating Inferential Privacy Leakage in LLM Assistants

Large language model (LLM)-based personal agents are increasingly deployed to handle everyday tasks on users'behalf. These agents have access to private user information, while their tasks involve communicating with third parties; this raises a critical privacy concern that agents may inappropriately reveal sensitive u...

Peng Huang, Yi-Wei Fu, Luo-Xi Meng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model

Modern power systems are growing increasingly complex as they integrate diverse generation sources to meet rising demand, making accurate load forecasting challenging. Recent advances in time-series foundation models (TSFMs) resulted in promising performance in zero-shot univariate load forecasting tasks. However, real...

Varsha Pendyala, Yi-Wei Fu, Weizhong Yan et al. · 0 citations

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