Cover Image

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Martinez, Yago Romano, Carter, Brady, Solanki, Abhijeet, Amiri, Wesam Al, Hasan, Syed Rafay, Guo, Terry N.
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supply Chain Exploitation of Secure ROS 2 Systems: A Proof-of-Concept on Autonomous Platform Compromise via Keystore Exfiltration
by: Sakib, Tahmid Hasan, et al.
Published: (2025)

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
by: Anagnostopoulos, Christos, et al.
Published: (2025)

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

SHEATH: Defending Horizontal Collaboration for Distributed CNNs against Adversarial Noise
by: Asif, Muneeba, et al.
Published: (2024)

Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard
by: Wong, Henry, et al.
Published: (2025)

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

Hermes Seal: Zero-Knowledge Assurance for Autonomous Vehicle Communications
by: Hasan, Munawar, et al.
Published: (2026)

Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
by: Riya, Farhin Farhad, et al.
Published: (2023)

Load-Altering Attacks Against Power Grids: A Case Study Using the GB-36 Bus System Open Dataset
by: Maksud, Syed Irtiza, et al.
Published: (2025)

One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning
by: Wang, Guohong, et al.
Published: (2023)

A Comprehensive Review of Adversarial Attacks on Machine Learning
by: Ahmed, Syed Quiser, et al.
Published: (2024)

Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles
by: Khan, Shahriar Rahman, et al.
Published: (2026)

Cybersecurity Threat Analysis And Attack Simulations For Unmanned Aerial Vehicle Networks
by: Abdulrazak, Charles
Published: (2024)

Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles
by: MohajerAnsari, Pedram, et al.
Published: (2024)

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study
by: Walter, Mathew J., et al.
Published: (2025)

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

Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
by: Chen, Cheng, et al.
Published: (2025)

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
by: Mohammadi, Ahmad, et al.
Published: (2025)

Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
by: Patel, Raj, et al.
Published: (2025)

Evasive Ransomware Attacks Using Low-level Behavioral Adversarial Examples
by: Hirano, Manabu, et al.
Published: (2025)

GPS-IDS: An Anomaly-based GPS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Abrar, Murad Mehrab, et al.
Published: (2024)

SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats
by: Zhang, Qingzhao, et al.
Published: (2025)

Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
by: Chen, Hanlin, et al.
Published: (2025)

Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
by: Hasan, Syed Mhamudul, 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)

Pulse-Level Simulation of Crosstalk Attacks on Superconducting Quantum Hardware
by: Shubha, Syed Emad Uddin, et al.
Published: (2025)

Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
by: Dasgupta, Sagar, et al.
Published: (2024)

Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
by: Chen, Xuan, et al.
Published: (2025)

Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
by: Song, Ruoyu, et al.
Published: (2024)

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles
by: Tehrani, Masoud Jamshidiyan, et al.
Published: (2024)

RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)

Categorizing Service Worker Attacks and Mitigations
by: Subramani, Karthika, et al.
Published: (2021)

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

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
by: Yang, Yulong, et al.
Published: (2023)

Redactable Blockchain Solutions for IoT: A Review of Mechanisms and Applications
by: Solanki, Arpish R.
Published: (2024)

A Location Validation Technique to Mitigate GPS Spoofing Attacks in IEEE 802.11p based Fleet Operator's Network of Electric Vehicles
by: Samaddar, Ankita, et al.
Published: (2024)

An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)

Autonomous Adversary: Red-Teaming in the age of LLM
by: Mamun, Mohammad, et al.
Published: (2026)

Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
by: Gu, Ruizhe, et al.
Published: (2020)