Author

Bo-Wen Chen

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Preprint Sep 2026

Feature-Aware Token Attack for Compression-Triggered Stealthy Failures in Large Vision-Language Models

Visual-token compression improves the efficiency of large vision-language models, but can expose failures that full-token evaluation misses. We study adversarial images that preserve full-token correctness yet induce errors after compression, even when both inference paths succeed on the clean image. Creating such fail...

Shilinlu Yan, Bo-Wen Chen, Yuechen Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Still There, No Longer Seen: Exposing Compression-Induced Risk in Large Vision-Language Models

Visual token compression reduces the inference cost of Large Vision-Language Models (LVLMs). However, aggregate robustness measures do not reveal whether a particular adversarial failure is induced by compression or inherited from the underlying model. We define a compression-specific failure (CSF) as an adversarial in...

Qian-Kun Li, Yuechen Zhang, Bo-Wen Chen et al. · 0 citations