Author

Junhao Dong

Nanyang Technological University

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Preprint Jul 2026

Unifying Adversarially Robust Model Experts in Vision-Language Models

A collaborative adversarial fine-tuning framework that maintains multiple experts during training, enables knowledge exchange through embedding-space harmonization, and consolidates the learned knowledge into a single unified robust model.

Nguyen Duc Thai, Junhao Dong, Sua Qi Rong et al. · 0 citations

Understanding and Exploiting Phase Sensitivity for Attacking Large Vision–Language Models

This paper proposes a novel LVLM attack method, called BadPhase with further backdoor designs, to implant adversarial phase as triggers into any image inputs via data poisoning so as to control the LVLMs’ predictions and finds that LVLMs are sensitive to the phase-aware image structure.

Daizong Liu, Junhao Dong, Xiang Fang et al. · 0 citations