How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?
Fuente:
arXiv
Saved in:
| Main Authors: | Taghanaki, Saeid Asgari, Lambourne, Joseph, Mongkhounsavath, Alana |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detecting Generative Parroting through Overfitting Masked Autoencoders
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
SMITE: Segment Me In TimE
by: Alimohammadi, Amirhossein, et al.
Published: (2024)
by: Alimohammadi, Amirhossein, et al.
Published: (2024)
SLiMe: Segment Like Me
by: Khani, Aliasghar, et al.
Published: (2023)
by: Khani, Aliasghar, et al.
Published: (2023)
TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models
by: Taghanaki, Saeid Asgari, et al.
Published: (2023)
by: Taghanaki, Saeid Asgari, et al.
Published: (2023)
Disentangled PET Lesion Segmentation
by: Gatsak, Tanya, et al.
Published: (2024)
by: Gatsak, Tanya, et al.
Published: (2024)
Test-Time Hinting for Black-Box Vision-Language Models
by: Hou, Kaihua, et al.
Published: (2026)
by: Hou, Kaihua, et al.
Published: (2026)
Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Language Models as Black-Box Optimizers for Vision-Language Models
by: Liu, Shihong, et al.
Published: (2023)
by: Liu, Shihong, et al.
Published: (2023)
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
by: Cardiel, Amaia, et al.
Published: (2024)
by: Cardiel, Amaia, et al.
Published: (2024)
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
by: Liu, Xinhao, et al.
Published: (2024)
by: Liu, Xinhao, et al.
Published: (2024)
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
by: Khan, Zaid, et al.
Published: (2024)
by: Khan, Zaid, et al.
Published: (2024)
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
by: Zhang, Serena, et al.
Published: (2024)
by: Zhang, Serena, et al.
Published: (2024)
DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction
by: Tang, Hongyi, et al.
Published: (2026)
by: Tang, Hongyi, et al.
Published: (2026)
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails
by: Yang, Yijun, et al.
Published: (2025)
by: Yang, Yijun, et al.
Published: (2025)
How Well Can Vision Language Models See Image Details?
by: Gou, Chenhui, et al.
Published: (2024)
by: Gou, Chenhui, et al.
Published: (2024)
Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization
by: Kawaharazuka, Kento, et al.
Published: (2024)
by: Kawaharazuka, Kento, et al.
Published: (2024)
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
by: Zhou, Chao, et al.
Published: (2024)
by: Zhou, Chao, et al.
Published: (2024)
How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions
by: An, Na Min, et al.
Published: (2025)
by: An, Na Min, et al.
Published: (2025)
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)
by: Woo, Sangmin, et al.
Published: (2025)
AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry
by: Xu, Xiang, et al.
Published: (2025)
by: Xu, Xiang, et al.
Published: (2025)
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization
by: Kawaharazuka, Kento, et al.
Published: (2024)
by: Kawaharazuka, Kento, et al.
Published: (2024)
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
by: Souček, Tomáš, et al.
Published: (2025)
by: Souček, Tomáš, et al.
Published: (2025)
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
by: Ouali, Yassine, et al.
Published: (2024)
by: Ouali, Yassine, et al.
Published: (2024)
Aligning Object Detector Bounding Boxes with Human Preference
by: Strafforello, Ombretta, et al.
Published: (2024)
by: Strafforello, Ombretta, et al.
Published: (2024)
S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models
by: Shukla, Nitish, et al.
Published: (2026)
by: Shukla, Nitish, et al.
Published: (2026)
White-Box mHC: Electromagnetic Spectrum-Aware and Interpretable Stream Interactions for Hyperspectral Image Classification
by: Zhu, Yimin, et al.
Published: (2026)
by: Zhu, Yimin, et al.
Published: (2026)
Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?
by: Waheed, Sania, et al.
Published: (2025)
by: Waheed, Sania, et al.
Published: (2025)
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
by: Zhuang, Chenyi, et al.
Published: (2024)
by: Zhuang, Chenyi, et al.
Published: (2024)
Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)
by: Chockler, Hana, et al.
Published: (2023)
Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment
by: Li, Jiaqing, et al.
Published: (2026)
by: Li, Jiaqing, et al.
Published: (2026)
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits
by: Pan, Minzhou, et al.
Published: (2024)
by: Pan, Minzhou, et al.
Published: (2024)
Opening the Black Box: Preliminary Insights into Affective Modeling in Multimodal Foundation Models
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Benchmarking Direct Preference Optimization for Medical Large Vision-Language Models
by: Kim, Dain, et al.
Published: (2026)
by: Kim, Dain, et al.
Published: (2026)
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)
by: Lee, Seongyun, et al.
Published: (2024)
BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation
by: Li, Feiran, et al.
Published: (2026)
by: Li, Feiran, et al.
Published: (2026)
Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks
by: An, Haonan, et al.
Published: (2024)
by: An, Haonan, et al.
Published: (2024)
Similar Items
-
Detecting Generative Parroting through Overfitting Masked Autoencoders
by: Taghanaki, Saeid Asgari, et al.
Published: (2024) -
Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019) -
SMITE: Segment Me In TimE
by: Alimohammadi, Amirhossein, et al.
Published: (2024) -
SLiMe: Segment Like Me
by: Khani, Aliasghar, et al.
Published: (2023) -
TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models
by: Taghanaki, Saeid Asgari, et al.
Published: (2023)