2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2025
Generating Adversarial Point Clouds Using Diffusion Model
Ruiyang Zhao, Bingbing Zhu, Chuxuan Tong +2
Adversarial attack methods for 3D point cloud classification reveal the vulnerabilities of point cloud recognition models. This vulnerability could lead to safety risks in critical…
cs.LG2022
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
Shengzhe Wang, Ling Wang, Zhihao Lin +1
Existing Deep Neural Nets on crops growth prediction mostly rely on availability of a large amount of data. In practice, it is difficult to collect enough high-quality data to util…
cs.CR2020★ 2 cited
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Ling Wang, Cheng Zhang, Zejian Luo +4
Nowadays, Deep Learning as a service can be deployed in Internet of Things (IoT) to provide smart services and sensor data processing. However, recent research has revealed that so…