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README.md

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+---
+pretty_name: GHOST
+language:
+- en
+tags:
+- hallucination
+- multimodal
+- mllm
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-classification
+---
+
+# GHOST
+
+Successful hallucination-inducing images from [GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs](https://arxiv.org/abs/2509.25178) (ICLR 2026).
+
+These are the generated images for the main COCO object-hallucination experiment. Each file is a sample where the victim model answered “Yes” for a target object that OWLv2 did not detect. The original COCO images are not included.
+
+## Layout
+
+```text
+qwen/<class>/*.png
+llava/<class>/*.png
+```
+
+Classes: `boat`, `bottle`, `bus`, `carrot`, `clock`, `knife`, `suitcase`, `toilet`, `traffic_light`, `vase`.
+
+| Model | Images |
+| --- | --- |
+| Qwen2.5-VL-7B-Instruct | 2816 |
+| LLaVA-v1.6-Mistral-7B | 2462 |
+
+Filenames are `{index}_{coco_id}_{step}_{generation}.png`.
+
+## Attack settings
+
+Both sets use the main-paper settings: learning rate 0.1, 100 steps, threshold 0.8, 4 generations, guidance scale 5, λ_clip 15, λ_reg 10, OWLv2 threshold 0.5, CLIP-sorted negatives, diffusion noise level 30, 50 inference steps.
+
+- Qwen projector: batch 32, learning rate 2e-4, 10 epochs, context 4096, hidden 2048
+- LLaVA projector: batch 64, learning rate 2e-4, 10 epochs, context 4096, hidden 1024
+
+## Citation
+
+```bibtex
+@article{parast2025ghost,
+  title={GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs},
+  author={Parast, Aryan Yazdan and Hosseini, Parsa and Asadollahzadeh, Hesam and Moakhar, Arshia Soltani and Azam, Basim and Feizi, Soheil and Akhtar, Naveed},
+  journal={arXiv preprint arXiv:2509.25178},
+  year={2025}
+}
+```