How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence
cs.CL
Submitted: 2026-05-19
Updated: 2026-09-16
Comments: 23 pages, 7 figures. Accepted to EMNLP 2026 Main Conference. Code: https://github.com/ef1026/ProSA
Code: https://github.com/ef1026/ProSA
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Adversarial Patch
- PaddleOCR 3.0 Technical Report
- Improved Regularization of Convolutional Neural Networks with Cutout
- DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
- RISE: Randomized Input Sampling for Explanation of Black-box Models
- MinerU: An Open-Source Solution for Precise Document Content Extraction
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