Jinrui Wang — accepted AI-conference papers

2026

Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models

Tao Qi, Huili Wang, Yuanhong Huang, Wendan Wang, Lianchao Zhao, Jinrui Wang +3

CVPR 2026

The rapid advancement of diffusion-based image generation models has raised serious concerns regarding potential copyright and privacy infringements involving human-created data. Membership inference attacks (MIAs) have emerged as a promising tool for identifying unauthorized data usage during model

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2026

ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases

Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang, Huili Wang +3

AAAI 2026technical

Open knowledge bases (e.g., websites) are widely adopted in Retrieval-Augmented Generation (RAG) systems to provide supplementary knowledge (e.g., latest information). However, such sources inevitably contain biased or harmful content, and incorporating these untrusted contents into the RAG process

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