activity
20242026
most citedVisual Adversarial Attack on Vision-Language Models for Autonomous Driving

2 citations · 6 across the 19 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic

Tianyuan Zhang, Peng Yue, Zihao Peng +8

Multimodal large language models (MLLMs) are increasingly integrated into autonomous driving (AD) systems; however, they remain vulnerable to diverse safety threats, particularly i…

cs.AI2024

Compromising Embodied Agents with Contextual Backdoor Attacks

Aishan Liu, Yuguang Zhou, Xianglong Liu +9

Large language models (LLMs) have transformed the development of embodied intelligence. By providing a few contextual demonstrations, developers can utilize the extensive internal…