Cover Image

TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dimitriu, Adonisz, Michaletzky, Tamás, Remeli, Viktor
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
by: Fujii, Kazuma, et al.
Published: (2021)

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
by: Li, Xiao, et al.
Published: (2023)

Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
by: Labib, S. M. Fazle Rabby, et al.
Published: (2023)

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

Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection
by: Suarez, Patricia L., et al.
Published: (2026)

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

Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors
by: Pavlitska, Svetlana, et al.
Published: (2025)

Visual Modality Prompt for Adapting Vision-Language Object Detectors
by: Medeiros, Heitor R., et al.
Published: (2024)

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
by: Fent, Felix, et al.
Published: (2024)

Adversarial Camouflage
by: Borsukiewicz, Paweł, et al.
Published: (2026)

SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection
by: Jan, Baber, et al.
Published: (2025)

USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)

BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
by: Shin, Woojin, et al.
Published: (2024)

Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
by: Freiberger, Matthias, et al.
Published: (2023)

IoUCert: Robustness Verification for Anchor-based Object Detectors
by: Brückner, Benedikt, et al.
Published: (2026)

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

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

EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2024)

Instant Adversarial Purification with Adversarial Consistency Distillation
by: Lei, Chun Tong, et al.
Published: (2024)

Present and Future Generalization of Synthetic Image Detectors
by: Bernabeu-Perez, Pablo, et al.
Published: (2024)

ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
by: Aubard, Martin, et al.
Published: (2024)

Visual Language Models as Zero-Shot Deepfake Detectors
by: Pirogov, Viacheslav
Published: (2025)

Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
by: Bao, Shilong, et al.
Published: (2025)

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
by: Karim, Mohammed Asad, et al.
Published: (2026)

Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
by: Zhai, Guangyao, et al.
Published: (2025)

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
by: Irshad, Samra, et al.
Published: (2025)

TACO-Net: Topological Signatures Triumph in 3D Object Classification
by: Ghosh, Anirban, et al.
Published: (2025)

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors
by: Bercean, Bogdan Alexandru, et al.
Published: (2026)

On the Interaction of Compressibility and Adversarial Robustness
by: Barsbey, Melih, et al.
Published: (2025)

Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer
by: Hsain, Achraf, et al.
Published: (2026)

Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
by: Kamberov, George I.
Published: (2024)

Text-To-Image with Generative Adversarial Networks
by: Momen-Tayefeh, Mehrshad
Published: (2024)

IGAN: Inferent and Generative Adversarial Networks
by: Vignaud, Luc
Published: (2021)

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
by: Liu, Xiaoyang, et al.
Published: (2024)

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

Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
by: Yang, Muli, et al.
Published: (2026)

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining
by: Liu, Chenxi, et al.
Published: (2025)

Beyond the Known: Adversarial Autoencoders in Novelty Detection
by: Asad, Muhammad, et al.
Published: (2024)

SDXL-Lightning: Progressive Adversarial Diffusion Distillation
by: Lin, Shanchuan, et al.
Published: (2024)

Structure-Guided Adversarial Training of Diffusion Models
by: Yang, Ling, et al.
Published: (2024)