A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination
Shiji Zhao, Yuxuan Zhou, Chen Xiong, Dongxian Wu, Yang Bai, Xun Chen
cs.CR
Submitted: 2026-08-03
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Image Hijacks: Adversarial Images can Control Generative Models at Runtime
- ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
- InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
- FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Jailbreaking Vision-Language Models Through the Visual Modality
- Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
- Models as Lego Builders: Assembling Malice from Benign Blocks via Semantic Blueprints
- TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Exploration
- LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
- X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
- Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
- The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
- MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
- AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
- Special-Character Adversarial Attacks on Open-Source Language Model
- "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
- Jailbreaking Attack against Multimodal Large Language Model
- Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
- MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue
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