TLS Encrypted Application Classification Using Machine Learning with Flow Feature Engineering. - Onur Barut; Rebecca Zhu; Yan Luo 001; Tong Zhang (ICCNS, 2020)

Machine Learning Based Malware Detection on Encrypted Traffic: A Comprehensive Performance Study. - Onur Barut; Matthew Grohotolski; Connor DiLeo; Yan Luo 001; Peilong Li; Tong Zhang (NSysS, 2020)

NetML: A Challenge for Network Traffic Analytics. - Onur Barut; Yan Luo 001; Tong Zhang; Weigang Li 002; Peilong Li (CoRR, 2020)

Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data. - Onur Barut; Li Zhou 014; Yan Luo 001 (IEEE Internet Things J., 2020)

Multi-Task Hierarchical Learning Based Network Traffic Analytics. - Onur Barut; Yan Luo 001; Tong Zhang; Weigang Li 002; Peilong Li (ICC, 2021)

Weakly Supervised Learning for Network Traffic Classification. - Onur Barut; Tong Zhang; Peilong Li (NAS, 2022)

A Comprehensive Study on Efficient and Accurate Machine Learning-Based Malicious PE Detection. - Onur Barut; Tong Zhang; Yan Luo 001; Peilong Li (CCNC, 2023)

Universal Network Traffic Analysis for Malicious Traffic Detection using RappNet: A Privacy-Preserving Approach : IEEE CNS 23 Poster. - Onur Barut; Lulin Deng; David Lu (CNS, 2023)

R1DIT: Privacy-Preserving Malware Traffic Classification With Attention-Based Neural Networks. - Onur Barut; Yan Luo 001; Peilong Li; Tong Zhang (IEEE Trans. Netw. Serv. Manag., 2023)

Malware Detection for Portable Executables Using a Multi-input Transformer-Based Approach. - Ting-Li Huoh; Timothy Miskell; Onur Barut; Yan Luo 001; Peilong Li; Tong Zhang (ICNC, 2024)

AWS Compute Video Super-Resolution powered by the Intel® Library for Video Super Resolution. - Carlos Salazar; Surbhi Madan; Anand V. Bodas; Arturo Velasco; Christopher A. Bird; Onur Barut; Tahani Trigui; Xiaoxia Liang (MHV, 2024)