Author

Jiaming Zhang

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Preprint Sep 2026

What Does It Mean to Forget a Person? Individual-Level Unlearning in Vision-Language Models

Erasing individual identities from Vision-Language Models (VLMs) is uniquely challenging because personal data is entangled across modalities rather than stored as isolated attributes. However, existing multimodal unlearning benchmarks primarily evaluate attribute-centric forgetting, overlooking the more critical objec...

Xiong-Tao Sun, Hui Li, Tian-Tong Wu et al. · 0 citations

#artificial intelligence Review May 2026

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

FraudBench is a multimodal benchmark for detecting AI-generated fraudulent refund evidence and shows that current MLLMs often recognize real-damaged evidence but fail on many fake-damaged subsets, with fake-damage detection rates far below the 50\% baseline on most generator subsets.

Xinyu Yan, Bo-Yang Chen, Jia-Ming Zhang et al. · arXiv.org · 1 citation

Preprint Aug 2026

SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains

This work introduces SynChain, a self-synthesized attack paradigm utilizing persistence-aware directed supervised fine-tuning to induce agents to create poisoned yet benign-looking artifacts, proving that securing CUAs requires provenance-aware reasoning over cross-task execution trajectories.

Fu-Yao Zhang, Jia-Ming Zhang, Che Wang et al. · 0 citations