Cover Image

Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Waseda, Futa, Yamabe, Shojiro, Shiono, Daiki, Sasaki, Kento, Takahashi, Tsubasa
Format:	Preprint
Published:	2025
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

Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models
by: Yamabe, Shojiro, et al.
Published: (2025)

Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
by: Takahashi, Tsubasa, et al.
Published: (2025)

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models
by: Waseda, Futa, et al.
Published: (2025)

MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
by: Yamabe, Shojiro, et al.
Published: (2024)

STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes
by: Ishihara, Keishi, et al.
Published: (2025)

Reading Between the Pixels: Linking Text-Image Embedding Alignment to Typographic Attack Success on Vision-Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2026)

Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships
by: Waseda, Futa, et al.
Published: (2024)

Instruction-Following Evaluation of Large Vision-Language Models
by: Shiono, Daiki, et al.
Published: (2025)

Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
by: Strack, Lukas, et al.
Published: (2023)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model
by: Cheng, Hao, et al.
Published: (2024)

Hierarchical Reasoning with Vision-Language Models for Incident Reports from Dashcam Videos
by: Yokoi, Shingo, et al.
Published: (2025)

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression
by: Miwa, Keita, et al.
Published: (2025)

Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation
by: Nii, Yuki, et al.
Published: (2025)

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
by: Cheng, Hao, et al.
Published: (2024)

Typographic Text Generation with Off-the-Shelf Diffusion Model
by: Peong, KhayTze, et al.
Published: (2024)

Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
by: Inoue, Yuichi, et al.
Published: (2024)

Automatic Text Box Placement for Supporting Typographic Design
by: Muraoka, Jun, et al.
Published: (2025)

Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks
by: Qraitem, Maan, et al.
Published: (2024)

Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection
by: Zhu, Jiayi, et al.
Published: (2025)

Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
by: Hufe, Lorenz, et al.
Published: (2025)

Benchmarking Large Language Models for Handwritten Text Recognition
by: Crosilla, Giorgia, et al.
Published: (2025)

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models
by: Zhao, Jiale, et al.
Published: (2025)

Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization
by: Kawaharazuka, Kento, et al.
Published: (2024)

A Systematic Study of Cross-Modal Typographic Attacks on Audio-Visual Reasoning
by: Chen, Tianle, et al.
Published: (2026)

UNIT: Unifying Image and Text Recognition in One Vision Encoder
by: Zhu, Yi, et al.
Published: (2024)

SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
by: Westerhoff, Justus, et al.
Published: (2025)

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
by: Cao, Yue, et al.
Published: (2024)

Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models
by: Li, Yueyan, et al.
Published: (2025)

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
by: Xie, Peng, et al.
Published: (2024)

BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)

PDA: Text-Augmented Defense Framework for Robust Vision-Language Models against Adversarial Image Attacks
by: Xu, Jingning, et al.
Published: (2026)

RobustNeRF: Ignoring Distractors with Robust Losses
by: Sabour, Sara, et al.
Published: (2023)

CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
by: Arai, Hidehisa, et al.
Published: (2024)

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors
by: Shahgir, Haz Sameen, et al.
Published: (2026)

PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning
by: Yoshikawa, Daiki, et al.
Published: (2025)

LaVPR: Benchmarking Language and Vision for Place Recognition
by: Idan, Ofer, et al.
Published: (2026)

Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models
by: Ying, Zonghao, et al.
Published: (2026)

Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments
by: Nagaonkar, Sankalp, et al.
Published: (2025)

Unified Prompt Attack Against Text-to-Image Generation Models
by: Peng, Duo, et al.
Published: (2025)

Benchmarking Vision-Language Models under Contradictory Virtual Content Attacks in Augmented Reality
by: Xiu, Yanming, et al.
Published: (2026)