VLM Robustness

VLM: Vision-Language Model

Overview

Vision-language model robustness asks whether a model’s answers stay grounded and dependable when images or prompts are corrupted, altered, unfamiliar, or in conflict. Researchers test these failures with adversarial attacks, corruption and out-of-distribution benchmarks, prompt and context variations, and measures of grounding, consistency, calibration, and safety. Common defenses include adversarial training, test-time adaptation, visual evidence selection, and interventions on model representations or attention. A central challenge is that clean accuracy and even stable answers can hide reliance on shortcuts, while improving robustness can cost accuracy, utility, or efficiency.

Latest papers

CardsList

455 papers48 papers in the last four weeks, up 26% on the four weeks before. 0.3% of all new papers.

  1. Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

    Mar 30, 2026Yanjie Zhang, Yafei Li, Rui Sheng +5VLM RobustnessChart QA

  2. 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

  3. Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method

    Mar 29, 2026Xiaoran Xu, Xiaoshan Yang, Jiangang Yang +3Open-Vocabulary Object DetectionVLM Robustness

  4. Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace Projection

    Mar 28, 2026Jinhu Fu, Yihang Lou, Qingyi Si +3VLM SafetyVision-Language Models

  5. A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models

    Mar 27, 2026Mujtaba Hussain Mirza, Antonio D'Orazio, Odelia Melamed +1Adversarial PurificationAdversarial Robustness

  6. ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better

    Mar 27, 2026Mriganka Nath, Anurag Das, Jiahao Xie +1VLM Hallucination MitigationTest-Time Adaptation of VLMs

  7. Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

    Mar 27, 2026Zibo Xu, Qiang Li, Weizhi Nie +1Medical VQASpurious Correlation Robustness

  8. Can VLMs Reason Robustly? A Neuro-Symbolic Investigation

    Mar 25, 2026Weixin Chen, Antonio Vergari, Han ZhaoVLM RobustnessVisual Reasoning

  9. MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

    Mar 24, 2026Ufaq Khan, Umair Nawaz, L D M S S Teja +5VLM EvaluationMedical VLMs

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

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

  11. CVT-Bench: Probing Spatial-State Integrity through Counterfactual Viewpoint Transformations

    Mar 22, 2026Shanmukha Vellamcheti, Uday Kiran Kothapalli, Disharee Bhowmick +1Spatial Reasoning BenchmarksMulti-View Consistency

  12. 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

  13. StageCraft: Execution Aware Mitigation of Distractor and Obstruction Failures in VLA Models

    Mar 21, 2026Kartikay Milind Pangaonkar, Prabin Rath, Omkar Patil +1VLM RobustnessRobotic Manipulation

  14. When Negation Is a Geometry Problem in Vision-Language Models

    Mar 20, 2026Fawaz Sammani, Tzoulio Chamiti, Paul Gavrikov +1VLM ReasoningVLM Evaluation

  15. Geometric Risk Control for Vision-Language Model OCR

    Mar 20, 2026Weile Gong, Zijian Lu, Mingcai Chen +3Selective Prediction for VLMsVLM Hallucination Mitigation

  16. Tinted Frames: Question Framing Blinds Vision-Language Models

    Mar 19, 2026Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher +2Vision-Language ModelsVLM Robustness

  17. SAVeS: Steering Safety Judgments in Vision-Language Models via Semantic Cues

    Mar 19, 2026Carlos Hinojosa, Clemens Grange, Bernard GhanemCultural Safety Evaluation of VLMsVision-Language Models

  18. Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness

    Mar 19, 2026Lu Yu, Haiyang Zhang, Changsheng XuAttention-Based Adversarial AttacksContrastive Learning for VLMs

  19. WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models

    Mar 18, 2026Wanjun Du, Zifeng Yuan, Tingting Chen +3VLM RobustnessVLM Reasoning

  20. Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift

    Mar 18, 2026Zhihua Wei, Qiang Li, Jian Ruan +6VLM SafetyAdversarial Attacks on VLMs

  21. HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models

    Mar 17, 2026Md Jahidul IslamVLM AdaptationAdapter Tuning

  22. Visual Prompt Discovery via Semantic Exploration

    Mar 17, 2026Jaechang Kim, Yotaro Shimose, Zhao Wang +3VLM Robustness