78 citations · 103 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 25 cited
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Wenwen Qiang, Jiangmeng Li, Changwen Zheng +2
Unsupervised domain adaptation (UDA) requires source domain samples with clean ground truth labels during training. Accurately labeling a large number of source domain samples is t…
cs.CR2019★ 78 cited
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm
Jinyin Chen, Mengmeng Su, Shijing Shen +2
Most deep learning models are easily vulnerable to adversarial attacks. Various adversarial attacks are designed to evaluate the robustness of models and develop defense model. Cur…
cs.CV2018
FineFool: Fine Object Contour Attack via Attention
Jinyin Chen, Haibin Zheng, Hui Xiong +1
Machine learning models have been shown vulnerable to adversarial attacks launched by adversarial examples which are carefully crafted by attacker to defeat classifiers. Deep learn…