[HTML][HTML] A qualitative AI security risk assessment of autonomous vehicles
This paper systematically analyzes the security risks associated with artificial intelligence
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …
The causation-prevention chain in infrastructure safety measures: a consideration of four types of policy lock-ins
V Gitelman, S Kaplan, S Hakkert - Accident Analysis & Prevention, 2024 - Elsevier
Safety policies typically follow Lasswell's linear decision cycle paradigm: diagnostics,
prescription, application, monitoring, and appraisal. Contemporary policy research …
prescription, application, monitoring, and appraisal. Contemporary policy research …
Achieving the safety and security of the end-to-end av pipeline
In the current landscape of autonomous vehicle (AV) safety and security research, there are
multiple isolated problems being tackled by the community at large. Due to the lack of …
multiple isolated problems being tackled by the community at large. Due to the lack of …
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing
T Wang, T Gu, H Deng, H Li, X Kuang… - Proceedings of the 33rd …, 2024 - dl.acm.org
As autonomous driving systems (ADS) advance towards higher levels of autonomy,
orchestrating their safety verification becomes increasingly intricate. This paper unveils …
orchestrating their safety verification becomes increasingly intricate. This paper unveils …
VioHawk: Detecting Traffic Violations of Autonomous Driving Systems through Criticality-Guided Simulation Testing
As highlighted in authoritative standards (eg, ISO21448), traffic law compliance is a
fundamental prerequisite for the commercialization of autonomous driving systems (ADS) …
fundamental prerequisite for the commercialization of autonomous driving systems (ADS) …
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
There is a growing interest in integrating Large Language Models (LLMs) with autonomous
driving (AD) systems. However, AD systems are vulnerable to attacks against their object …
driving (AD) systems. However, AD systems are vulnerable to attacks against their object …
Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles
P MohajerAnsari, A Domeke, J de Voor, A Mitra… - arXiv preprint arXiv …, 2024 - arxiv.org
Ensuring autonomous vehicle (AV) security remains a critical concern. An area of paramount
importance is the study of physical-world adversarial examples (AEs) aimed at exploiting …
importance is the study of physical-world adversarial examples (AEs) aimed at exploiting …
Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
The rapid advancement of Autonomous Vehicles (AVs), exemplified by companies like
Waymo and Cruise offering 24/7 paid taxi services, highlights the paramount importance of …
Waymo and Cruise offering 24/7 paid taxi services, highlights the paramount importance of …
ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators
W Fu, H Huang, Y Zhang, K Zhang, J Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
With the increasing adoption of autonomous vehicles, ensuring the reliability of autonomous
driving systems (ADSs) deployed on autonomous vehicles has become a significant …
driving systems (ADSs) deployed on autonomous vehicles has become a significant …
Anomaly Detection in Autonomous Driving Systems for Identifying Adversarial Attacks: Evaluation of an Unsupervised Encoder-Decoder Convolutional Neural …
L Bjelm - 2024 - diva-portal.org
Abstract The rise of Autonomous Driving Systems (ADS) represents a significant
advancement in automotive technology, promising enhanced safety, efficiency, and …
advancement in automotive technology, promising enhanced safety, efficiency, and …