Paper-Conference

Short: CARdea: Two-Phase Plausibility-Based Vehicle-to-Vehicle Anomaly Detection System

Distilling Vision Language Model for Robust Traffic Sign Perception in Autonomous Vehicles

Toward Inherently Robust VLMs Against Visual Perception Attacks

NPNet: A Non-Parametric Network with Adaptive Gaussian-Fourier Positional Encoding for 3D Classification and Segmentation

From MIRAGE to CLEAR - Component-Level Explainable Anomaly Reasoning for Autonomous Vehicle Perception Systems

Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures

Budget-Aware Adaptive Adversarial Patches for Black-Box Object Detection

An Open-Source Testbed for Next-Generation In-Vehicle Zonal Architectures

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving - A Cross-Architecture Analysis

SoK: Security of the Image Processing Pipeline in Autonomous Vehicles