:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Yuanhao, Ren, Yilong, Wang, Jinlei, Huo, Lujia, Bai, Xuesong, Zhang, Jinchuan, Yu, Haiyan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2505.16402
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception
di: Huang, Yuanhao, et al.
Pubblicazione: (2025)

VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness
di: Cai, Xuan, et al.
Pubblicazione: (2024)

Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
di: Shack, Jakob, et al.
Pubblicazione: (2024)

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test
di: Cai, Xuan, et al.
Pubblicazione: (2025)

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches
di: Wang, Zhixiang, et al.
Pubblicazione: (2024)

DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
di: Ma, Jin, et al.
Pubblicazione: (2025)

Higher-Order Adversarial Patches for Real-Time Object Detectors
di: Bayer, Jens, et al.
Pubblicazione: (2026)

A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles
di: Mu, Jaden
Pubblicazione: (2024)

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

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

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

Physics Encoded Spatial and Temporal Generative Adversarial Network for Tropical Cyclone Image Super-resolution
di: Zhang, Ruoyi, et al.
Pubblicazione: (2026)

We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
di: Li, Jiachun, et al.
Pubblicazione: (2021)

Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
di: D'Urso, Brianna, et al.
Pubblicazione: (2026)

Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
di: Kazoom, Roie, et al.
Pubblicazione: (2024)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
di: Guesmi, Amira, et al.
Pubblicazione: (2023)

Integrated Flood Risk Early Warning for Adaptive Emergency Management: The IFloPhy Framework Coupling Machine Learning and Physical Models
di: Jilin Huang, et al.
Pubblicazione: (2025)

Measuring deviations from spherical symmetry
di: Bai, Lujia, et al.
Pubblicazione: (2025)

F-scheduler: illuminating the free-lunch design space for fast sampling of diffusion models
di: Li, Zilai, et al.
Pubblicazione: (2025)

Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
di: Bai, Lujia, et al.
Pubblicazione: (2023)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving
di: Liu, Aishan, et al.
Pubblicazione: (2025)

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
di: Lapid, Raz, et al.
Pubblicazione: (2023)

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

Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection
di: Woo, Jung Heum, et al.
Pubblicazione: (2026)

IPG: Incremental Patch Generation for Generalized Adversarial Patch Training
di: Lee, Wonho, et al.
Pubblicazione: (2025)

Security and Privacy in O-RAN for 6G: A Comprehensive Review of Threats and Mitigation Approaches
di: Liang, Lujia, et al.
Pubblicazione: (2026)

SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
di: Jiang, Hanrui, et al.
Pubblicazione: (2025)

A Preliminary Study on a Synergistic Assimilation Scheme for Multi-band Satellite Soil Moisture Data
di: Bai, Xuesong
Pubblicazione: (2026)

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

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

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

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
di: Yin, Minglei, et al.
Pubblicazione: (2023)

Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
di: Pathak, Saurabh, et al.
Pubblicazione: (2024)

DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World
di: Cheng, Jikang, et al.
Pubblicazione: (2024)

Detecting $k$-nonseparability and $k$-partite Entanglement with Generalized Skew Information and Mutually Unbiased Measurements
di: Qi, Xiaofei, et al.
Pubblicazione: (2025)

Multi-Modal Intelligent Channel Modeling Framework for 6G-Enabled Networked Intelligent Systems
di: Bai, Lu, et al.
Pubblicazione: (2025)

Patch-based Selection and Refinement for Early Object Detection
di: Zhang, Tianyi, et al.
Pubblicazione: (2023)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
di: Chattopadhyay, Nandish, et al.
Pubblicazione: (2024)

Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models
di: Kong, Dehong, et al.
Pubblicazione: (2024)

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
di: Zheng, Junhao, et al.
Pubblicazione: (2025)