14 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 2 cited
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification
Fangtian Zhong, Zekai Chen, Minghui Xu +3
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes,…
cs.LG2021★ 14 cited
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen, Fangtian Zhong, Zhumin Chen +3
User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing a…
cs.CR2020★ 9 cited
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu +3
Deep learning is a thriving field currently stuffed with many practical applications and active research topics. It allows computers to learn from experience and to understand the…