Cover Image

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Jiaqi, Zhou, Yuchen, Xu, Muduo, Liang, Zisheng, Ren, Simiao, Xue, Jiayu, Yang, Meige, Chen, Siying, Huan, Jingheng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation
by: Zhu, Jiayong, et al.
Published: (2026)

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents
by: Wu, Jiaqi, et al.
Published: (2026)

Can Multi-modal (reasoning) LLMs detect document manipulation?
by: Liang, Zisheng, et al.
Published: (2025)

FinForge: Semi-Synthetic Financial Benchmark Generation
by: Matlin, Glenn, et al.
Published: (2026)

GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics
by: Zhang, Yan, et al.
Published: (2026)

How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study
by: Ren, Simiao, et al.
Published: (2026)

MosaicDoc: A Large-Scale Bilingual Benchmark for Visually Rich Document Understanding
by: Chen, Ketong, et al.
Published: (2025)

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment
by: Zewde, Kidus, et al.
Published: (2026)

MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
by: Ma, Yubo, et al.
Published: (2024)

DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
by: Feng, Xiang, et al.
Published: (2026)

Revisiting Tampered Scene Text Detection in the Era of Generative AI
by: Qu, Chenfan, et al.
Published: (2024)

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
by: Ouyang, Linke, et al.
Published: (2024)

Research about the Ability of LLM in the Tamper-Detection Area
by: Yang, Xinyu, et al.
Published: (2024)

Chinese Language Is Not More Efficient Than English in Vibe Coding: A Preliminary Study on Token Cost and Problem-Solving Rate
by: Ren, Simiao, et al.
Published: (2026)

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
by: Hu, Ruofan, et al.
Published: (2026)

DOCFORGE-BENCH: A Comprehensive 0-shot Benchmark for Document Forgery Detection and Analysis
by: Zhao, Zengqi, et al.
Published: (2026)

DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
by: Du, Yongkun, et al.
Published: (2025)

Anti-Tamper Radio meets Reconfigurable Intelligent Surface for System-Level Tamper Detection
by: Tabar, Maryam Shaygan, et al.
Published: (2025)

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents
by: Lai, Yuxiang, et al.
Published: (2026)

Doc-CoB: Enhancing Document Understanding with Visual Chain-of-Boxes Reasoning
by: Mo, Ye, et al.
Published: (2025)

Towards Universal Quantum Tamper Detection
by: Broadbent, Anne, et al.
Published: (2025)

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
by: Wang, Minzheng, et al.
Published: (2024)

DocReward: A Document Reward Model for Structuring and Stylizing
by: Liu, Junpeng, et al.
Published: (2025)

BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical Images
by: Nandi, Soumyaroop, et al.
Published: (2026)

Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models
by: Jang, Haeun, et al.
Published: (2026)

DocCogito: Aligning Layout Cognition and Step-Level Grounded Reasoning for Document Understanding
by: Wu, Yuchuan, et al.
Published: (2026)

DocMMIR: A Framework for Document Multi-modal Information Retrieval
by: Li, Zirui, et al.
Published: (2025)

DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
by: Zeng, Fanwei, et al.
Published: (2026)

Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models
by: Huang, Jiaxi, et al.
Published: (2025)

A Technique for the Detection of PDF Tampering or Forgery
by: Grobler, Gabriel, et al.
Published: (2025)

Optimization of Anti‐Tampering Method for Financial Data in Edge Intelligent Systems Based on Support Vector Machine
by: Shugui Lin, et al.
Published: (2025)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
by: Xia, Renqiu, et al.
Published: (2024)

A Framework for Secure Ownership Verification and Tamper Detection Using AI-Powered Watermarking
by: Kumara,Yapa, Kumara,Yapa
Published: (2025)

Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing
by: Yang, Minglai, et al.
Published: (2026)

DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
by: Petrik, Jan, et al.
Published: (2024)

DocTER: Evaluating Document-based Knowledge Editing
by: Wu, Suhang, et al.
Published: (2023)

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
by: Nguyen, Khanh, et al.
Published: (2025)

TextSleuth: Towards Explainable Tampered Text Detection
by: Qu, Chenfan, et al.
Published: (2024)

Poster: Camera Tampering Detection for Outdoor IoT Systems
by: Attarha, Shadi, et al.
Published: (2026)

On Split-State Quantum Tamper Detection and Non-Malleability
by: Bergamaschi, Thiago, et al.
Published: (2023)