Adversarial Attacks on VLMs

VLM: Vision-Language Model

Overview

This field studies how image perturbations, embedded text, physical patches, poisoned training data, and multi-turn prompts can make models misread scenes, follow malicious instructions, leak information, or fail in agent tasks. Approaches include gradient-based and transferable attacks, typographic and visual prompt injection, jailbreak red-teaming, and backdoors, evaluated across tasks such as visual question answering, captioning, document understanding, video, and robotics. Defenses range from adversarial training and robust encoders to test-time transformations, token or attention interventions, prompt screening, and response monitoring. A central challenge is improving safety and robustness without sacrificing clean accuracy, utility, or latency, while accounting for uneven transfer across models, modalities, languages, and deployment settings.

Latest papers

CardsList

183 papers23 papers in the last four weeks, up 77% on the four weeks before. 0.1% of all new papers.

  1. Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability

    Apr 19, 2026Lijie ZhouCross-Modal LearningVLM Robustness

  2. Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs

    Apr 14, 2026Jianhao Chen, Shiqin Wang, Haoyang Chen +4Adversarial Attacks on VLMsVLM Evaluation

  3. HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models

    Apr 14, 2026Han Liu, Jiaqi Li, Zhi Xu +5Adversarial Attacks on VLMsBlack-Box Adversarial Attacks

  4. Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking

    Apr 11, 2026Jingru Li, Wei Ren, Tianqing ZhuJailbreak AttacksAdversarial Attacks on VLMs

  5. Mosaic: Multimodal Jailbreak against Closed-Source VLMs via Multi-View Ensemble Optimization

    Apr 10, 2026Yuqin Lan, Gen Li, Yuanze Hu +6Adversarial Attacks on VLMsTransfer-Based Adversarial Attacks

  6. Making MLLMs Blind: Adversarial Smuggling Attacks in MLLM Content Moderation

    Apr 8, 2026Zhiheng Li, Zongyang Ma, Yuntong Pan +8Multimodal Content ModerationAdversarial Attacks on VLMs

  7. VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

    Apr 7, 2026Peigui Qi, Kunsheng Tang, Yanpu Yu +7VLM SafetyVLM Robustness

  8. Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models

    Apr 7, 2026Zonghao Ying, Haowen Dai, Lianyu Hu +5Black-Box Adversarial AttacksSafe T2I Generation

  9. Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

    Apr 7, 2026Igor Maljkovic, Maria Rosaria Briglia, Iacopo Masi +2VLM RobustnessAdversarial Attacks on VLMs

  10. Adjustable Text-Guided Backdoor Attacks with Natural-Word Triggers on Multimodal Pretrained Models

    Apr 7, 2026Yiyang Zhang, Chaojian Yu, Ziming Hong +4Adversarial Attacks on VLMsBackdoor Attacks on VLMs

  11. Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models

    Apr 3, 2026Chengyin Hu, Yuxian Dong, Yikun Guo +8Adversarial Attacks on VLMsVLM Robustness

  12. Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters

    Apr 2, 2026Ahmed B Mustafa, Zihan Ye, Yang Lu +2Adversarial Attacks on VLMsSafe T2I Generation

  13. PDA: Text-Augmented Defense Framework for Robust Vision-Language Models against Adversarial Image Attacks

    Apr 1, 2026Jingning Xu, Haochen Luo, Chen LiuVLM RobustnessVision-Language Models

  14. CASA: Classification Augmented with Safety Attention for Robust Multimodal Alignment

    Mar 31, 2026Anurag Kumar, Raghuveer Peri, Jon Burnsky +4MLLM SafetyLLM Safety Alignment

  15. Covert Visual Prompt Injection against Commercial Multimodal Large Language Models

    Mar 31, 2026Meiwen Ding, Song Xia, Chenqi Kong +1Adversarial Attacks on VLMsPrompt Injection Attacks

  16. XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs

    Mar 30, 2026Chengyin Hu, Jiaju Han, Xuemeng Sun +6Adversarial Attacks on VLMsVLM Robustness

  17. Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models

    Mar 29, 2026Duanyi Yao, Changyue Li, Zhicong Huang +2Adversarial Attacks on VLMsBackdoor Attacks

  18. Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

    Mar 26, 2026Eyal Hadad, Mordechai GuriPrivacy Protection in VLMsAdversarial Attacks on VLMs

  19. Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models

    Mar 23, 2026Xingyu Zhu, Beier Zhu, Shuo Wang +4VLM RobustnessActivation Steering

  20. Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models

    Mar 23, 2026Rui Yang Tan, Yujia Hu, Roy Ka-Wei LeeMLLM SafetyAdversarial Attacks on VLMs

  21. JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization

    Mar 22, 2026Haolun Zheng, Yu He, Tailun Chen +6Adversarial Attacks on VLMsBlack-Box Adversarial Attacks

  22. When Minor Edits Matter: LLM-Driven Prompt Attack for Medical VLM Robustness in Ultrasound

    Mar 22, 2026Yasamin Medghalchi, Milad Yazdani, Amirhossein Dabiriaghdam +7VLM RobustnessAdversarial Attacks on VLMs