Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization

no code implementations • 20 Nov 2022 • Amirmohammad Pasdar, Young Choon Lee, Seok-Hee Hong

Such in-depth analysis motivates employing deep neural networks (DNNs) for a set of features and patterns extracted from applications to facilitate detecting potentially dangerous applications independently.

Android Malware Detection Federated Learning +2

A Machine Learning Approach for Predicting Human Preference for Graph Layouts

no code implementations • 1 Mar 2021 • Shijun Cai, Seok-Hee Hong, Jialiang Shen, Tongliang Liu

In this paper, we present the first machine learning approach for predicting human preference for graph layouts.

BIG-bench Machine Learning Transfer Learning