Adversarial Attacks on Deep OCR Systems
Deep-OCR (DeepSeek-OCR) advances document recognition by treating the visual modality as an optical compression medium, enabling long-context OCR at low token cost. However, its increased complexity may introduce new security vulnerabilities. In this paper, we present, to the best of our knowledge, the first pure black-box adversarial attack against a generative OCR vision-language model, where only the decoded string can be queried and no gradients, logits, or model internals are available. We recast the attack as a zeroth-order optimization problem driven by a bounded scalar loss defined directly on the string output via sequence similarity, and estimate the gradient with a random-direc...
| Authors | Wenbo Sun, Hongzong LI, Yanyun Wang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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