Author

Xukun Luan

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Jul 2026

Is External Database Protection Static in Retrieval-Augmented Generation? Rethinking Privacy Preservation under Dynamic Queries

A Prompt-Aware Dynamic Hierarchical Differential Privacy framework (PA-HDP) is proposed, which performs a prompt-aware risk hierarchy to dynamically assess privacy risks under different queries and applies adaptive sensitive entity replacement and exponential mechanism-based text selection to provide differentiated privacy protection while preserving semantic utility.

Gang Zhang, Mingyu Tian, Xu-Kun Luan et al. · arXiv.org · 0 citations

#machine learning Preprint Aug 2026

MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning

This work proposes MemCatalyst, a set of data poisoning tools, aiming to amplify the data auditing performance on VLMs, and forces VLMs to over-learn specific inconsistencies between image features and textual semantics during training, thereby increasing their susceptibility to membership information auditing.

Xukun Luan, Jinyan Liu, Yuhui Gong et al. · 0 citations