Cover Image

Securing Traffic Sign Recognition Systems in Autonomous Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hapuarachchi, Thushari, Dang, Long, Xiong, Kaiqi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks
by: Dang, Long, et al.
Published: (2025)

Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
by: Dang, Long, et al.
Published: (2025)

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
by: Riya, Farhin Farhad, et al.
Published: (2023)

Nonlinear Transformations Against Unlearnable Datasets
by: Hapuarachchi, Thushari, et al.
Published: (2024)

AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
by: Salek, M Sabbir, et al.
Published: (2023)

Adversarial Attack On Yolov5 For Traffic And Road Sign Detection
by: Jain, Sanyam
Published: (2023)

Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
by: Majumder, Reek, et al.
Published: (2025)

T2I-Based Physical-World Appearance Attack against Traffic Sign Recognition Systems in Autonomous Driving
by: Ma, Chen, et al.
Published: (2025)

Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles
by: Guo, Dongfang, et al.
Published: (2024)

Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
by: Shua, Tsufit, et al.
Published: (2024)

Trapped by Their Own Light: Deployable and Stealth Retroreflective Patch Attacks on Traffic Sign Recognition Systems
by: Tsuruoka, Go, et al.
Published: (2025)

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
by: Wang, Ningfei, et al.
Published: (2024)

CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
by: Serengil, Sefik, et al.
Published: (2025)

A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles
by: Abhulimhen, Richard, et al.
Published: (2025)

Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition
by: Hou, Yuchao, et al.
Published: (2025)

Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)

Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024)

AGNES: Abstraction-guided Framework for Deep Neural Networks Security
by: Dhonthi, Akshay, et al.
Published: (2023)

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
by: Raj, Ankita, et al.
Published: (2025)

Innovative Deep Learning Architecture for Enhanced Altered Fingerprint Recognition
by: Abdullah, Dana A, et al.
Published: (2025)

Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
by: Zalameda, Joseph G., et al.
Published: (2026)

ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
by: Amin, Al, et al.
Published: (2024)

SaFL: Sybil-aware Federated Learning with Application to Face Recognition
by: Ghafourian, Mahdi, et al.
Published: (2023)

LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters
by: Ahn, Beomjin, et al.
Published: (2026)

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024)

A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
by: Wang, Huan-Chih, et al.
Published: (2024)

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
by: Wang, Yinggui, et al.
Published: (2024)

A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
by: Lou, Yang, et al.
Published: (2024)

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
by: Wang, Hanrui, et al.
Published: (2025)

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)

Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025)

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
by: Sato, Takami, et al.
Published: (2024)

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems
by: Roux, Quentin Le, et al.
Published: (2025)

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

Under-confidence Backdoors Are Resilient and Stealthy Backdoors
by: Peng, Minlong, et al.
Published: (2022)

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

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023)

Smart Railway Obstruction Detection System using IoT and Computer Vision
by: Kumar, Pravin, et al.
Published: (2026)

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
by: Huang, Zijian, et al.
Published: (2024)

Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
by: Zhou, Xugui, et al.
Published: (2023)