54 citations · 65 across the 4 of their papers we have counts for
4 papers
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning
Mao V. Ngo, Tram Truong-Huu, Dima Rabadi +2
In malware detection, dynamic analysis extracts the runtime behavior of malware samples in a controlled environment and static analysis extracts features using reverse engineering…
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo +4
Neural networks have been widely applied in security applications such as spam and phishing detection, intrusion prevention, and malware detection. This black-box method, however,…
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Lianlian Jiang, Yuexuan Wang, Wenyi Zheng +3
Federated learning (FL) and split learning (SL) are the two popular distributed machine learning (ML) approaches that provide some data privacy protection mechanisms. In the time-s…
A Deep Framework for Bone Age Assessment based on Finger Joint Localization
Xiaoman Zhang, Ziyuan Zhao, Cen Chen +6
Bone age assessment is an important clinical trial to measure skeletal child maturity and diagnose of growth disorders. Conventional approaches such as the Tanner-Whitehouse (TW) a…