149 citations · 153 across the 10 of their papers we have counts for
4 papers · 1 filter
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan, Huilin Yin
The renaissance of deep learning has led to the massive development of automated driving. However, deep neural networks are vulnerable to adversarial examples. The perturbations of…
WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer
Huilin Yin, Pengyu Wang, Senmao Li +2
Robust object detection for Unmanned Surface Vehicles (USVs) in complex water environments is essential for reliable navigation and operation. Specifically, water surface object de…
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan, Pengyu Wang, Danni Wang +3
Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples. In the past few years, deep learning has gradually…
Wavelet Regularization Benefits Adversarial Training
Jun Yan, Huilin Yin, Xiaoyang Deng +4
Adversarial training methods are state-of-the-art (SOTA) empirical defense methods against adversarial examples. Many regularization methods have been proven to be effective with t…