Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
Fuente:
arXiv
Saved in:
| Main Authors: | Anagnostopoulos, Christos, Kapsali, Ioulia, Gkillas, Alexandros, Piperigkos, Nikos, Lalos, Aris S. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
by: Gkillas, Alexandros, et al.
Published: (2025)
by: Gkillas, Alexandros, et al.
Published: (2025)
Federated Data-Driven Kalman Filtering for State Estimation
by: Piperigkos, Nikos, et al.
Published: (2024)
by: Piperigkos, Nikos, et al.
Published: (2024)
Personalized Federated Learning for Cross-view Geo-localization
by: Anagnostopoulos, Christos, et al.
Published: (2024)
by: Anagnostopoulos, Christos, et al.
Published: (2024)
Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking
by: Damanaki, Maria, et al.
Published: (2025)
by: Damanaki, Maria, et al.
Published: (2025)
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation
by: Gkillas, Alexandros, et al.
Published: (2025)
by: Gkillas, Alexandros, et al.
Published: (2025)
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
by: Gkillas, Alexandros, et al.
Published: (2024)
by: Gkillas, Alexandros, et al.
Published: (2024)
Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing
by: Damanaki, Maria, et al.
Published: (2025)
by: Damanaki, Maria, et al.
Published: (2025)
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
by: Martinez, Yago Romano, et al.
Published: (2025)
by: Martinez, Yago Romano, et al.
Published: (2025)
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Dasgupta, Sagar, et al.
Published: (2024)
by: Dasgupta, Sagar, et al.
Published: (2024)
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
by: Chen, Hanlin, et al.
Published: (2025)
by: Chen, Hanlin, et al.
Published: (2025)
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
by: Zhou, Andy, et al.
Published: (2025)
by: Zhou, Andy, et al.
Published: (2025)
Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study
by: Walter, Mathew J., et al.
Published: (2025)
by: Walter, Mathew J., et al.
Published: (2025)
Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)
by: Ikbarieh, Seif, et al.
Published: (2025)
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
by: Basile, Lorenzo, et al.
Published: (2023)
by: Basile, Lorenzo, et al.
Published: (2023)
GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
by: Mohammadi, Ahmad, et al.
Published: (2025)
by: Mohammadi, Ahmad, et al.
Published: (2025)
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
by: Kang, Mintong, et al.
Published: (2023)
by: Kang, Mintong, et al.
Published: (2023)
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)
by: Ma, Jiachen, et al.
Published: (2024)
Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
by: Jha, Pranav K
Published: (2025)
by: Jha, Pranav K
Published: (2025)
FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
by: S, Devika, et al.
Published: (2025)
by: S, Devika, et al.
Published: (2025)
Security and Resilience in Autonomous Vehicles: A Proactive Design Approach
by: Tsai, Chieh, et al.
Published: (2026)
by: Tsai, Chieh, et al.
Published: (2026)
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
by: Wu, Yixin, et al.
Published: (2025)
by: Wu, Yixin, et al.
Published: (2025)
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles
by: Kim, Junae, et al.
Published: (2024)
by: Kim, Junae, et al.
Published: (2024)
LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks
by: Happe, Andreas, et al.
Published: (2023)
by: Happe, Andreas, et al.
Published: (2023)
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
by: Domico, Kyle, et al.
Published: (2025)
by: Domico, Kyle, et al.
Published: (2025)
Special-Character Adversarial Attacks on Open-Source Language Model
by: Sarabamoun, Ephraiem
Published: (2025)
by: Sarabamoun, Ephraiem
Published: (2025)
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
by: Mia, Maraz, et al.
Published: (2025)
by: Mia, Maraz, et al.
Published: (2025)
Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)
by: Shah, Parin, et al.
Published: (2024)
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors
by: Shi, Yunfan
Published: (2024)
by: Shi, Yunfan
Published: (2024)
UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
by: Phute, Mansi, et al.
Published: (2025)
by: Phute, Mansi, et al.
Published: (2025)
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
by: Shen, Yaling, et al.
Published: (2025)
by: Shen, Yaling, et al.
Published: (2025)
Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
by: Ennaji, Sabrine, et al.
Published: (2025)
by: Ennaji, Sabrine, et al.
Published: (2025)
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)
by: Fok, Jan Lum, et al.
Published: (2025)
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)
by: Lan, Tianwei, et al.
Published: (2025)
Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey
by: Jain, Bhavuk, et al.
Published: (2026)
by: Jain, Bhavuk, et al.
Published: (2026)
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
by: Muktar, Bappa, et al.
Published: (2025)
by: Muktar, Bappa, et al.
Published: (2025)
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
by: Song, Ruoyu, et al.
Published: (2024)
by: Song, Ruoyu, et al.
Published: (2024)
Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks
by: Zhao, Jin, et al.
Published: (2026)
by: Zhao, Jin, et al.
Published: (2026)
Similar Items
-
Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
by: Gkillas, Alexandros, et al.
Published: (2025) -
Federated Data-Driven Kalman Filtering for State Estimation
by: Piperigkos, Nikos, et al.
Published: (2024) -
Personalized Federated Learning for Cross-view Geo-localization
by: Anagnostopoulos, Christos, et al.
Published: (2024) -
Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking
by: Damanaki, Maria, et al.
Published: (2025) -
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation
by: Gkillas, Alexandros, et al.
Published: (2025)