Copertina

In-the-Wild Camouflage Attack on Vehicle Detectors through Controllable Image Editing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fang, Xiao, Gong, Yiming, Panev, Stanislav, de Melo, Celso, Hu, Shuowen, Chakraborty, Shayok, De la Torre, Fernando
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
di: Fang, Xiao, et al.
Pubblicazione: (2025)

Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
di: Yeghiazaryan, Mikael, et al.
Pubblicazione: (2024)

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
di: Zhang, Lin, et al.
Pubblicazione: (2024)

MetaErr: Towards Predicting Error Patterns in Deep Neural Networks
di: Totakura, Varun, et al.
Pubblicazione: (2026)

ACIL: Active Class Incremental Learning for Image Classification
di: Bhattacharya, Aditya R., et al.
Pubblicazione: (2026)

Environment‐Adaptive Stealth Attack Framework for Natural Camouflage Adversarial Attacks in Remote‐Sensing Image
di: Dianlong Fang, et al.
Pubblicazione: (2026)

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
di: Zhou, Jiawei, et al.
Pubblicazione: (2024)

CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
di: Lyu, Linye, et al.
Pubblicazione: (2024)

Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors
di: Zhou, Jiawei, et al.
Pubblicazione: (2024)

Consolidating Attention Features for Multi-view Image Editing
di: Patashnik, Or, et al.
Pubblicazione: (2024)

An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations
di: Totakura, Varun, et al.
Pubblicazione: (2026)

FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
di: Jiang, Chutian, et al.
Pubblicazione: (2024)

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning
di: Zu, Lipeng, et al.
Pubblicazione: (2025)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
di: Zhou, Zheng, et al.
Pubblicazione: (2023)

Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models
di: Wu, Chen, et al.
Pubblicazione: (2024)

Edicho: Consistent Image Editing in the Wild
di: Bai, Qingyan, et al.
Pubblicazione: (2024)

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?
di: Zhao, Kaixiang, et al.
Pubblicazione: (2026)

InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow
di: Gong, Yiming, et al.
Pubblicazione: (2025)

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
di: Martinez, Yago Romano, et al.
Pubblicazione: (2025)

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
di: He, Chunming, et al.
Pubblicazione: (2023)

FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images
di: Zhang, Cheng, et al.
Pubblicazione: (2024)

CITED: A Decision Boundary-Aware Signature for GNNs Towards Model Extraction Defense
di: Shen, Bolin, et al.
Pubblicazione: (2026)

Evolution of the ASF Infection Stage in Wild Boar Within the EU (2014–2018)
di: Martinez-Aviles, Marta, et al.
Pubblicazione: (2020)

TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors
di: Dimitriu, Adonisz, et al.
Pubblicazione: (2024)

Training-free Geometric Image Editing on Diffusion Models
di: Zhu, Hanshen, et al.
Pubblicazione: (2025)

Evaluating Deepfake Detectors in the Wild
di: Pirogov, Viacheslav, et al.
Pubblicazione: (2025)

Camouflage Adversarial Attacks on Multiple Agent Systems
di: Lu, Ziqing, et al.
Pubblicazione: (2024)

A Survey of Camouflaged Object Detection and Beyond
di: Xiao, Fengyang, et al.
Pubblicazione: (2024)

Text-guided Controllable Diffusion for Realistic Camouflage Images Generation
di: Qian, Yuhang, et al.
Pubblicazione: (2025)

SAR/ISAR Imaging in 6G Network
di: Hu, Yanmo, et al.
Pubblicazione: (2026)

CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild
di: Yao, Siyuan, et al.
Pubblicazione: (2026)

Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks
di: Huertas-García, Álvaro, et al.
Pubblicazione: (2024)

Prescribed‐Time Fuzzy Adaptive Performance‐Constraint Control for Nonlinear Vehicle Platoon Under DoS and FDI Attacks
di: Yixian Fang, et al.
Pubblicazione: (2026)

Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
di: Chharia, Aviral, et al.
Pubblicazione: (2026)

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
di: Zhang, Haichao, et al.
Pubblicazione: (2023)

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement
di: Shen, Yuqi, et al.
Pubblicazione: (2025)

UniHuman: A Unified Model for Editing Human Images in the Wild
di: Li, Nannan, et al.
Pubblicazione: (2023)

Classifier-Centric Adaptive Framework for Open-Vocabulary Camouflaged Object Segmentation
di: Zhang, Hanyu, et al.
Pubblicazione: (2025)

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
di: Kong, Dehong, et al.
Pubblicazione: (2025)

Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
di: Di, Jimmy Z., et al.
Pubblicazione: (2022)