:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Gupta, Ankit, Adami, Christoph, Dolson, Emily
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2512.06185
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)

From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
by: Zhao, Wenjie, et al.
Published: (2025)

Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
by: Hölle, Marc, et al.
Published: (2025)

FeatureFool: Zero-Query Fooling of Video Models via Feature Map
by: Tang, Duoxun, et al.
Published: (2025)

Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
by: Maag, Kira, et al.
Published: (2023)

StyleFool: Fooling Video Classification Systems via Style Transfer
by: Cao, Yuxin, et al.
Published: (2022)

rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator
by: Adami, Banafsheh, et al.
Published: (2025)

GRU-AUNet: A Domain Adaptation Framework for Contactless Fingerprint Presentation Attack Detection
by: Adami, Banafsheh, et al.
Published: (2025)

Reading Between the Pixels: Linking Text-Image Embedding Alignment to Typographic Attack Success on Vision-Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2026)

Towards Pixel-Level VLM Perception via Simple Points Prediction
by: Song, Tianhui, et al.
Published: (2026)

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
by: Zamzam, Omar
Published: (2024)

Backdooring Vision-Language Models with Out-Of-Distribution Data
by: Lyu, Weimin, et al.
Published: (2024)

On the Out-of-Distribution Generalization of Reasoning in Multimodal LLMs for Simple Visual Planning Tasks
by: Neuhaus, Yannic, et al.
Published: (2026)

FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution
by: Zhou, Qi, et al.
Published: (2024)

Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
by: Jain, Akshay, et al.
Published: (2024)

Fooling Polarization-based Vision using Locally Controllable Polarizing Projection
by: Li, Zhuoxiao, et al.
Published: (2023)

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
by: Fu, Yonggan, et al.
Published: (2022)

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)

Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)

CaptionFool: Universal Image Captioning Model Attacks
by: Parekh, Swapnil
Published: (2026)

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
by: Liang, Jiachen, et al.
Published: (2025)

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
by: Liu, Kai, et al.
Published: (2024)

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
by: Woodland, McKell, et al.
Published: (2024)

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
by: Liu, Moru, et al.
Published: (2025)

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans?
by: Wang, Jiaqi, et al.
Published: (2025)

Component-Based Out-of-Distribution Detection
by: Liu, Wenrui, et al.
Published: (2026)

Phase Matching for Out-of-Distribution Generalization
by: Hu, Chengming, et al.
Published: (2023)

Segment Every Out-of-Distribution Object
by: Zhao, Wenjie, et al.
Published: (2023)

Image Recognition for Garbage Classification Based on Pixel Distribution Learning
by: Kanani, Jenil
Published: (2024)

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
by: Qian, Yusu, et al.
Published: (2024)

Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
by: Liu, Yang, et al.
Published: (2025)

Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
by: Medina, Edgar, et al.
Published: (2024)

LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
by: Cao, Yuxin, et al.
Published: (2024)

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
by: Gutbrod, Max, et al.
Published: (2025)

Lightweight True In-Pixel Encryption with FeFET Enabled Pixel Design for Secure Imaging
by: Udoy, Md Rahatul Islam, et al.
Published: (2026)

Multi-Method Ensemble for Out-of-Distribution Detection
by: Rakotoarivony, Lucas
Published: (2025)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

Domain penalisation for improved Out-of-Distribution Generalisation
by: Jena, Shuvam, et al.
Published: (2024)

Towards Few-shot Out-of-Distribution Detection
by: Dong, Jiuqing, et al.
Published: (2023)