263 citations · 767 across the 31 of their papers we have counts for
4 papers · 1 filter
Adversarial Example Defense via Perturbation Grading Strategy
Shaowei Zhu, Wanli Lyu, Bin Li +2
Deep Neural Networks have been widely used in many fields. However, studies have shown that DNNs are easily attacked by adversarial examples, which have tiny perturbations and grea…
High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology
Yun Tang, Lulu Cheng, Wanli Lyv +1
Reversible data hiding in encrypted domain(RDH-ED) can not only protect the privacy of 3D mesh models and embed additional data, but also recover original models and extract additi…
Neural network fragile watermarking with no model performance degradation
Zhaoxia Yin, Heng Yin, Xinpeng Zhang
Deep neural networks are vulnerable to malicious fine-tuning attacks such as data poisoning and backdoor attacks. Therefore, in recent research, it is proposed how to detect malici…
Universal adversarial perturbation for remote sensing images
Qingyu Wang, Guorui Feng, Zhaoxia Yin +1
Recently, with the application of deep learning in the remote sensing image (RSI) field, the classification accuracy of the RSI has been dramatically improved compared with traditi…