10 citations · 44 across the 34 of their papers we have counts for
4 papers · 1 filter
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang, Zhaoyu Chen, Kaixun Jiang +5
Deep Neural Networks (DNNs) are vulnerable to adversarial examples, which are crafted by adding human-imperceptible perturbations to the benign inputs. Simultaneously, adversarial…
LVOS: A Benchmark for Long-term Video Object Segmentation
Lingyi Hong, Wenchao Chen, Zhongying Liu +4
Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time. These videos are po…
Towards Practical Certifiable Patch Defense with Vision Transformer
Zhaoyu Chen, Bo Li, Jianghe Xu +3
Patch attacks, one of the most threatening forms of physical attack in adversarial examples, can lead networks to induce misclassification by modifying pixels arbitrarily in a cont…
Efficient universal shuffle attack for visual object tracking
Siao Liu, Zhaoyu Chen, Wei Li +4
Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames. However, previous wor…