Buchumschlag

Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Chenyi, Man, Yanmao, Muller, Raymond, Li, Ming, Celik, Z. Berkay, Gerdes, Ryan, Petit, Jonathan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception
von: Wang, Chenyi, et al.
Veröffentlicht: (2025)

Systematic Discovery of Semantic Attacks in Online Map Construction through Conditional Diffusion
von: Wang, Chenyi, et al.
Veröffentlicht: (2026)

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
von: Huang, Huiqun, et al.
Veröffentlicht: (2025)

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

TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers
von: Nokabadi, Fatemeh Nourilenjan, et al.
Veröffentlicht: (2024)

Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
von: Gao, Sensen, et al.
Veröffentlicht: (2024)

Out of Sight, Out of Track: Adversarial Attacks on Propagation-based Multi-Object Trackers via Query State Manipulation
von: Bouzidi, Halima, et al.
Veröffentlicht: (2026)

Adversarial Attack for RGB-Event based Visual Object Tracking
von: Chen, Qiang, et al.
Veröffentlicht: (2025)

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

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)

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
von: Chen, Junxi, et al.
Veröffentlicht: (2024)

Multiple Object Tracking as ID Prediction
von: Gao, Ruopeng, et al.
Veröffentlicht: (2024)

See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems
von: Bouzidi, Halima, et al.
Veröffentlicht: (2025)

Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
von: Song, Min Geun, et al.
Veröffentlicht: (2025)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
von: Chen, Erh-Chung, et al.
Veröffentlicht: (2024)

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

Benchmarking Transferable Adversarial Attacks
von: Jin, Zhibo, et al.
Veröffentlicht: (2024)

Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
von: Wang, Donghua, et al.
Veröffentlicht: (2024)

MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
von: Wang, Yanting, et al.
Veröffentlicht: (2024)

Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning
von: Müller, Jan, et al.
Veröffentlicht: (2024)

Towards Transferable Targeted 3D Adversarial Attack in the Physical World
von: Huang, Yao, et al.
Veröffentlicht: (2023)

SAMOFT: Robust Multi-Object Tracking via Region and Flow
von: Wang, Yanchao, et al.
Veröffentlicht: (2026)

Boosting Adversarial Transferability via Residual Perturbation Attack
von: Peng, Jinjia, et al.
Veröffentlicht: (2025)

Improving Transferability of Adversarial Examples via Bayesian Attacks
von: Li, Qizhang, et al.
Veröffentlicht: (2023)

Revisiting Physically Realizable Adversarial Object Attack against LiDAR-based Detection: Clarifying Problem Formulation and Experimental Protocols
von: Cheng, Luo, et al.
Veröffentlicht: (2025)

Defending Object Detectors against Patch Attacks with Out-of-Distribution Smoothing
von: Feng, Ryan, et al.
Veröffentlicht: (2022)

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

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
von: Shaar, Eitan, et al.
Veröffentlicht: (2026)

RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents
von: Yeke, Doguhuan, et al.
Veröffentlicht: (2026)

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

LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration
von: Alikhanov, Jumabek, et al.
Veröffentlicht: (2024)

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
von: Wu, Tao, et al.
Veröffentlicht: (2025)

A Survey on Physical Adversarial Attacks against Face Recognition Systems
von: Wang, Mingsi, et al.
Veröffentlicht: (2024)

AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking
von: Kim, Vitaliy, et al.
Veröffentlicht: (2024)

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback
von: Luo, Kai, et al.
Veröffentlicht: (2025)

Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
von: Zhou, Zirun, et al.
Veröffentlicht: (2025)

Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection
von: Zhang, Yiming, et al.
Veröffentlicht: (2026)

Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
von: Zhu, Zihui, et al.
Veröffentlicht: (2026)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
von: Huang, Hanxun, et al.
Veröffentlicht: (2025)