Guanghua Liu — accepted AI-conference papers

2025

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

AAAI 2025technical

The increasing parameters and expansive dataset of large lan- guage models (LLMs) highlight the urgent demand for a technical solution to audit the underlying privacy risks and copyright issues associated with LLMs. Existing studies have partially addressed this need through an exploration of the pr…

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2024

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

NeurIPS 2024poster

Membership Inference Attacks (MIA) aim to infer whether a target data record has been utilized for model training or not. Existing MIAs designed for large language models (LLMs) can be bifurcated into two types: reference-free and reference-based attacks. Although reference-based attacks appear prom…

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