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20182025
most citedInvisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

226 citations · 242 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

T2I-Based Physical-World Appearance Attack against Traffic Sign Recognition Systems in Autonomous Driving

Chen Ma, Ningfei Wang, Junhao Zheng +4

Traffic Sign Recognition (TSR) systems play a critical role in Autonomous Driving (AD) systems, enabling real-time detection of road signs, such as STOP and speed limit signs. Whil…

cs.CV2024

SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving

Chen Ma, Ningfei Wang, Zhengyu Zhao +2

Autonomous Driving (AD) systems critically depend on visual perception for real-time object detection and multiple object tracking (MOT) to ensure safe driving. However, high laten…

cs.CV2024

ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving

Chen Ma, Ningfei Wang, Zhengyu Zhao +3

Recent research in adversarial machine learning has focused on visual perception in Autonomous Driving (AD) and has shown that printed adversarial patches can attack object detecto…

cs.CV2023

SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples

Chen Ma, Ningfei Wang, Qi Alfred Chen +1

In Autonomous Driving (AD), real-time perception is a critical component responsible for detecting surrounding objects to ensure safe driving. While researchers have extensively ex…

cs.CV2023

Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models

Takami Sato, Justin Yue, Nanze Chen +2

Denoising probabilistic diffusion models have shown breakthrough performance to generate more photo-realistic images or human-level illustrations than the prior models such as GANs…