30 citations · 44 across the 14 of their papers we have counts for
6 papers · 1 filter
Deep-Dive Analysis of Selfish and Stubborn Mining in Bitcoin and Ethereum
Runkai Yang, Xiaolin Chang, Jelena Mišić +1
Bitcoin and Ethereum are the top two blockchain-based cryptocurrencies whether from cryptocurrency market cap or popularity. However, they are vulnerable to selfish mining and stub…
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang +2
White-box Adversarial Example (AE) attacks towards Deep Neural Networks (DNNs) have a more powerful destructive capacity than black-box AE attacks in the fields of AE strategies. H…
On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model
Jinming Wen, Xiao Wen Chang
This paper is concerned with detecting an integer parameter vector inside a box from a linear model that is corrupted with a noise vector following the Gaussian distribution. One o…
A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
Yuzhou Lin
In recent years, malware becomes more threatening. Concerning the increasing malware variants, there comes Machine Learning (ML)-based and Deep Learning (DL)-based approaches for h…
Towards interpreting ML-based automated malware detection models: a survey
Yuzhou Lin, Xiaolin Chang
Malware is being increasingly threatening and malware detectors based on traditional signature-based analysis are no longer suitable for current malware detection. Recently, the mo…
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Yuzhou Lin, Xiaolin Chang
Deep learning (DL) models for image-based malware detection have exhibited their capability in producing high prediction accuracy. But model interpretability is posing challenges t…