10 citations · 13 across the 5 of their papers we have counts for
10 papers
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu, Yuhang Gong, Xiaopeng Ke +5
Intelligent Apps (iApps), equipped with in-App deep learning (DL) models, are emerging to offer stable DL inference services. However, App marketplaces have trouble auto testing iA…
Quasi-linear analysis of dispersion relation preservation for nonlinear schemes
Fengyuan Xu, Pan Yan, Qin Li +1
In numerical simulations of complex flows with discontinuities, it is necessary to use nonlinear schemes. The spectrum of the scheme used have a significant impact on the resolutio…
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection
Shucheng Li, Fengyuan Xu, Runchuan Wang +1
In recent years, phishing scams have become the crime type with the largest money involved on Ethereum, the second-largest blockchain platform. Meanwhile, graph neural network (GNN…
Stealthy Backdoors as Compression Artifacts
Yulong Tian, Fnu Suya, Fengyuan Xu +1
In a backdoor attack on a machine learning model, an adversary produces a model that performs well on normal inputs but outputs targeted misclassifications on inputs containing a s…
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +7
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query…
On developing piecewise rational mapping with fine regulation capability for WENO schemes
Qin Li, Pan Yan, Xiao Huang +2
On the idea of mapped WENO-JS scheme, properties of mapping methods are analyzed, uncertainties in mapping development are investigated, and new rational mappings are proposed. Bas…