Zihao Luo — accepted AI-conference papers

2026

InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training

Zihao Luo, Shaohao Rui, Zhenyu Tang, Guotai Wang, Xiaosong Wang

CVPR 2026

Continual self-supervised learning (CSSL) in medical imaging trains a foundation model sequentially, alleviating the need for collecting multi-modal images for joint training and offering promising improvements in downstream performance while preserving data privacy. However, most existing methods s

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2025

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models

Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

AAAI 2025technical

Low-rank adaptation (LoRA) is an efficient strategy for adapting latent diffusion models (LDMs) on a private dataset to generate specific images by minimizing the adaptation loss. However, the LoRA-adapted LDMs are vulnerable to membership inference (MI) attacks that can judge whether a particular d…

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