Buchumschlag

Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Tiliwalidi, Kalibinuer
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Multi-View Black-Box Physical Attacks on Infrared Pedestrian Detectors Using Adversarial Infrared Grid
von: Tiliwalidi, Kalibinuer, et al.
Veröffentlicht: (2024)

Thermal Topology Collapse: Universal Physical Patch Attacks on Infrared Vision Systems
von: Hu, Chengyin, et al.
Veröffentlicht: (2026)

Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
von: Lin, Guixu, et al.
Veröffentlicht: (2025)

Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems
von: Niu, Muyao, et al.
Veröffentlicht: (2024)

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors
von: Long, Jiahuan, et al.
Veröffentlicht: (2025)

Infrared Adversarial Car Stickers
von: Zhu, Xiaopei, et al.
Veröffentlicht: (2024)

Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
von: Strack, Lukas, et al.
Veröffentlicht: (2023)

Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
von: Su, Yue, et al.
Veröffentlicht: (2024)

Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion
von: DelaCruz, Miguel A., et al.
Veröffentlicht: (2026)

$\textrm{A}^{\textrm{2}}$RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
von: Li, Jiawei, et al.
Veröffentlicht: (2024)

AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
von: Miao, Boming, et al.
Veröffentlicht: (2024)

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors
von: Phuc, Pham, et al.
Veröffentlicht: (2024)

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
von: Liu, Zhu, et al.
Veröffentlicht: (2025)

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

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
von: Pinhasov, Ben, et al.
Veröffentlicht: (2024)

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
von: Kong, Weizhe, et al.
Veröffentlicht: (2025)

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
von: Jing, Lihua, et al.
Veröffentlicht: (2024)

Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
von: Cao, Yuxin, et al.
Veröffentlicht: (2024)

Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
von: Huang, Yihao, et al.
Veröffentlicht: (2025)

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
von: Cao, Yue, et al.
Veröffentlicht: (2023)

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patches for Infrared Vision-Language Models
von: Hu, Chengyin, et al.
Veröffentlicht: (2026)

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
von: Chen, Jianlang, et al.
Veröffentlicht: (2024)

Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers
von: Nokabadi, Fatemeh Nourilenjan, et al.
Veröffentlicht: (2024)

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

Defending against Patch-Based and Texture-Based Adversarial Attacks with Spectral Decomposition
von: Zhang, Wei, et al.
Veröffentlicht: (2026)

ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents
von: Wang, Yichen, et al.
Veröffentlicht: (2025)

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
von: Long, Jiahuan, et al.
Veröffentlicht: (2025)

MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained Models
von: Zhang, Peng-Fei, et al.
Veröffentlicht: (2025)

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
von: Jia, Xiaojun, et al.
Veröffentlicht: (2025)

Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion
von: Zhang, Shanshan, et al.
Veröffentlicht: (2024)

Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models
von: Yan, Shihui, et al.
Veröffentlicht: (2026)

Adversarial Appearance Learning in Augmented Cityscapes for Pedestrian Recognition in Autonomous Driving
von: Savkin, Artem, et al.
Veröffentlicht: (2025)

Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization
von: Li, He, et al.
Veröffentlicht: (2026)

Exposing Vulnerabilities in Visible-Infrared VLMs: A Unified Geometric Adversarial Framework with Cross-Task Transferability
von: Chen, Xiang, et al.
Veröffentlicht: (2026)

A Mimetic Detector for Adversarial Image Perturbations
von: Corbino, Johnny
Veröffentlicht: (2026)

Adaptive Perturbation for Adversarial Attack
von: Yuan, Zheng, et al.
Veröffentlicht: (2021)

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
von: Cheng, Zhiyuan, et al.
Veröffentlicht: (2024)

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
von: Yang, Fan, et al.
Veröffentlicht: (2024)

Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory
von: Wang, Chenyi, et al.
Veröffentlicht: (2025)

Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
von: Tang, Wen-Jia, et al.
Veröffentlicht: (2024)