Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks

Z Cheng, C Han, J Liang, Q Wang, X Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous
driving. However, various attacks target MDE models, with physical attacks posing …

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation

S Feng, Y Ye, Q Shi, Z Cheng, X Xu, S Cheng… - Proceedings of the 39th …, 2024 - dl.acm.org
As Autonomous driving systems (ADS) have transformed our daily life, safety of ADS is of
growing significance. While various testing approaches have emerged to enhance the ADS …

Attack as Defense: Run-time Backdoor Implantation for Image Content Protection

H Zhang, M Lin, Z Liu, R Li, Z Cheng, C Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
As generative models achieve great success, tampering and modifying the sensitive image
contents (ie, human faces, artist signatures, commercial logos, etc.) have induced a …

Small object intelligent Detection method based on Adaptive Cascading Context

J Zhang, D Li, H Zhang, F Wang, Y Chen… - Journal on Autonomous …, 2024 - dl.acm.org
With the technology advances, deep learning-based object detection has made
unprecedented progress. However, the small spatial ratio of object pixels affects the effective …

Towards Secure and Robust 3K Perception in the Real World: An Adversarial Approach

Z Cheng - 2024 - search.proquest.com
The advent of advanced machine learning and computer vision techniques has led to the
feasibility of 3D perception in the real world, which includes but not limited to tasks of …

Transportation Systems

J Zhang, D Li, H Zhang, F Wang, Y Chen, L Li… - dl.acm.org
In recent years, computer vision based on neural network technology has been continuously
developed, among which target detection is an important research direction [49]. Traditional …