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20212025
most citedTowards interpreting ML-based automated malware detection models: a survey

5 citations · 10 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CR2024

A2E: Attribute-based Anonymity-Enhanced Authentication for Accessing Driverless Taxi Service

Yanwei Gong, Xiaolin Chang, Jelena Mišić +1

Driverless vehicle as a taxi is gaining more attention due to its potential to enhance urban transportation efficiency. However, both unforeseen incidents led by unsupervised physi…

cs.CR2023

Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC

Yanling Wang, Xiaolin Chang, Haoran Zhu +3

Processing sensitive data and deploying well-designed Intellectual Property (IP) cores on remote Field Programmable Gate Array (FPGA) are prone to private data leakage and IP theft…

cs.CR2023

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning

Jianhua Wang, Xiaolin Chang, Jelena Mišić +3

Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data pr…

cs.CR2023

Delay Impact on Stubborn Mining Attack Severity in Imperfect Bitcoin Network

Haoran Zhu, Xiaolin Chang, Jelena Mišić +1

Stubborn mining attack greatly downgrades Bitcoin throughput and also benefits malicious miners (attackers). This paper aims to quantify the impact of block receiving delay on stub…

cs.CR20211 cited

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…

cs.CR20215 cited

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…