Paper-Conference

Toward Inherently Robust VLMs Against Visual Perception Attacks

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

SoK: Security of the Image Processing Pipeline in Autonomous Vehicles

SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition

Secure Automotive Ethernet: Implementing and Benchmarking MACsec, IPsec, and TLS

SASA: Sequence-Aware Shadow Attacks via Attention Alignment for Traffic Sign Recognition

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

Interpretable Adversarial Prompt Tuning via Semantic Concepts

FF3R: Feedforward Feature 3D Reconstruction from Unconstrained views

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