Author

Sheng-Yuan Pang

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Preprint Oct 2026

MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation

A trajectory-guided procedure that identifies candidate injection points and inserts reproducible visual payloads into the observation stream is proposed, which is used to construct MMA-SafetyBench, which contains 1,083 adversarial trajectories across web automation, desktop GUI control, mobile navigation, document und...

Yu-Ke Wang, Ben-Lei Cui, Sheng-Yuan Pang et al. · 0 citations

Review Aug 2026

Fully Unleashing the Multimodal Attacker: Meta-Adaptive Jailbreaking of Vision-Language Models

Results reveal a systemic vulnerability of frontier VLMs to meta-adaptive jailbreaks to meta-adaptive jailbreaks and motivate defenses against meta-level adversaries.

Ben-Lei Cui, Sheng-Yuan Pang, Yu-Ke Wang et al. · 1 citation

2026

Patronus: Safeguarding Text-to-Image Models Against Adversarial Fine-Tuning

Text-to-image (T2I) models can be exploited to produce unsafe images. Existing safety measures, e.g., content moderation or model alignment, can be weakened by adversaries who attempt to restore unsafe generation through model fine-tuning. This paper presents Patronus, a defensive framework that improves T2I models’ re...

Xin-Feng Li, Sheng-Yuan Pang, Jialin Wu et al. · IEEE Transactions on Informa... · 0 citations