:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Hu, Xiangdong, Jiang, Yangyang, Hu, Qin, Jia, Xiaojun
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	https://arxiv.org/abs/2601.03416
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems
von: Guo, Qi, et al.
Veröffentlicht: (2025)

White-box Multimodal Jailbreaks Against Large Vision-Language Models
von: Wang, Ruofan, et al.
Veröffentlicht: (2024)

Distraction is All You Need for Multimodal Large Language Model Jailbreaking
von: Yang, Zuopeng, et al.
Veröffentlicht: (2025)

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
von: Jiang, Zhengyuan, et al.
Veröffentlicht: (2025)

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
von: Chen, Junkai, et al.
Veröffentlicht: (2025)

MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models
von: Ruan, Jiacheng, et al.
Veröffentlicht: (2025)

JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
von: Jin, Haibo, et al.
Veröffentlicht: (2024)

VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models
von: Sima, Bingrui, et al.
Veröffentlicht: (2025)

VRSA: Jailbreaking Multimodal Large Language Models through Visual Reasoning Sequential Attack
von: Zhao, Shiji, et al.
Veröffentlicht: (2025)

Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language Models
von: Wang, Lehan, et al.
Veröffentlicht: (2025)

Perception-guided Jailbreak against Text-to-Image Models
von: Huang, Yihao, et al.
Veröffentlicht: (2024)

CrashChat: A Multimodal Large Language Model for Multitask Traffic Crash Video Analysis
von: Liang, Kaidi, et al.
Veröffentlicht: (2025)

Jailbreaking Attack against Multimodal Large Language Model
von: Niu, Zhenxing, et al.
Veröffentlicht: (2024)

PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models
von: Huang, Mouxiao, et al.
Veröffentlicht: (2025)

Jailbreaking Multimodal Large Language Models using Multi-Clip Video
von: Kang, Choongwon, et al.
Veröffentlicht: (2026)

Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs
von: Yu, Mingyu, et al.
Veröffentlicht: (2026)

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
von: Cui, Yiming, et al.
Veröffentlicht: (2025)

Towards Unified Facial Action Unit Recognition Framework by Large Language Models
von: Hu, Guohong, et al.
Veröffentlicht: (2024)

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
von: Li, Yifan, et al.
Veröffentlicht: (2024)

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models
von: Jiang, Lei, et al.
Veröffentlicht: (2025)

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework
von: Jia, Hongrui, et al.
Veröffentlicht: (2025)

Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models
von: Li, Hengzhuang, et al.
Veröffentlicht: (2025)

Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors
von: Yang, Chengxu, et al.
Veröffentlicht: (2026)

OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation
von: Jia, Xiaojun, et al.
Veröffentlicht: (2025)

LoC-Path: Learning to Compress for Pathology Multimodal Large Language Models
von: Hu, Qingqiao, et al.
Veröffentlicht: (2025)

Jailbreaks on Vision Language Model via Multimodal Reasoning
von: Noheria, Aarush, et al.
Veröffentlicht: (2026)

ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
von: Tu, Yahan, et al.
Veröffentlicht: (2024)

E$^2$AT: Multimodal Jailbreak Defense via Dynamic Joint Optimization for Multimodal Large Language Models
von: Lu, Liming, et al.
Veröffentlicht: (2025)

Large Language Model Aided Birt-Hogg-Dube Syndrome Diagnosis with Multimodal Retrieval-Augmented Generation
von: Li, Haoqing, et al.
Veröffentlicht: (2025)

ST$^3$: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming
von: Zhuang, Jiedong, et al.
Veröffentlicht: (2024)

MIBench: Evaluating Multimodal Large Language Models over Multiple Images
von: Liu, Haowei, et al.
Veröffentlicht: (2024)

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
von: Wu, Mengyang, et al.
Veröffentlicht: (2024)

TalkFashion: Intelligent Virtual Try-On Assistant Based on Multimodal Large Language Model
von: Hu, Yujie, et al.
Veröffentlicht: (2025)

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
von: Zou, Xin, et al.
Veröffentlicht: (2024)

SPR-128K: A New Benchmark for Spatial Plausibility Reasoning with Multimodal Large Language Models
von: Hu, Zhiyuan, et al.
Veröffentlicht: (2025)

Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models
von: Zhang, Linghao, et al.
Veröffentlicht: (2026)

Jailbreak Large Vision-Language Models Through Multi-Modal Linkage
von: Wang, Yu, et al.
Veröffentlicht: (2024)

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
von: Liu, Tengfei, et al.
Veröffentlicht: (2024)

Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies
von: Hou, Wenjin, et al.
Veröffentlicht: (2026)

IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
von: Wang, Ruofan, et al.
Veröffentlicht: (2024)