Comprehensive Analysis of Network Traffic Data. - Yuantian Miao; Zichan Ruan; Lei Pan 002; Jun Zhang 010; Yang Xiang 001; Yu Wang 017 (CIT, 2016)

Distributed Detection of Zero-Day Network Traffic Flows. - Yuantian Miao; Lei Pan 002; Sutharshan Rajasegarar; Jun Zhang 010; Christopher Leckie; Yang Xiang 001 (AusDM, 2017)

Visualization of big data security: a case study on the KDD99 cup data set. - Zichan Ruan; Yuantian Miao; Lei Pan 002; Nicholas Charles Patterson; Jun Zhang 010 (Digit. Commun. Networks, 2017)

Comprehensive analysis of network traffic data. - Yuantian Miao; Zichan Ruan; Lei Pan 002; Jun Zhang 010; Yang Xiang 001 (Concurr. Comput. Pract. Exp., 2018)

Automated Big Traffic Analytics for Cyber Security. - Yuantian Miao; Zichan Ruan; Lei Pan 002; Yu Wang 017; Jun Zhang 010; Yang Xiang 001 (CoRR, 2018)

Big network traffic data visualization. - Zichan Ruan; Yuantian Miao; Lei Pan 002; Yang Xiang 001; Jun Zhang 010 (Multim. Tools Appl., 2018)

The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT. - Yuantian Miao; Benjamin Zi Hao Zhao; Minhui Xue 001; Chao Chen 015; Lei Pan 002; Jun Zhang 010; Dali Kaafar; Yang Xiang 001 (CoRR, 2019)

The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services. - Yuantian Miao; Minhui Xue 001; Chao Chen 015; Lei Pan 002; Jun Zhang 010; Benjamin Zi Hao Zhao; Dali Kaafar; Yang Xiang 001 (Proc. Priv. Enhancing Technol., 2021)

No-Label User-Level Membership Inference for ASR Model Auditing. - Yuantian Miao; Chao Chen 015; Lei Pan 002; Shigang Liu; Seyit Camtepe; Jun Zhang 010; Yang Xiang 001 (ESORICS (2), 2022)

FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation. - Yuantian Miao; Chao Chen 015; Lei Pan 002; Jun Zhang 010; Yang Xiang 001 (CoRR, 2022)

Machine Learning-based Cyber Attacks Targeting on Controlled Information: A Survey. - Yuantian Miao; Chao Chen 015; Lei Pan 002; Qing-Long Han; Jun Zhang 010; Yang Xiang 001 (ACM Comput. Surv., 2022)

Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. - Yueyue Liu; Hongyu Zhang 002; Zhiqiang Li 003; Yuantian Miao (ESEM, 2024)

Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. - Yueyue Liu; Hongyu Zhang 002; Van-Hoang Le; Yuantian Miao; Zhiqiang Li 003 (GECCO Companion, 2024)

CPLS: Optimizing the Assignment of LLM Queries. - Yueyue Liu; Hongyu Zhang 002; Zhiqiang Li 003; Yuantian Miao (ICSME, 2024)

OptLLM: Optimal Assignment of Queries to Large Language Models. - Yueyue Liu; Hongyu Zhang 002; Yuantian Miao; Van-Hoang Le; Zhiqiang Li 003 (ICWS, 2024)

From Principles to Practice: A Deep Dive into AI Ethics and Regulations. - Nan Sun; Yuantian Miao; Hao Jiang; Ming Ding; Jun Zhang (CoRR, 2024)

Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. - Nan Sun 002; Yuantian Miao; Xiaoxing Mo; Jun Zhang 010 (PAKDD (6), 2025)

A survey of coverage-guided greybox fuzzing with deep neural models. - Junyang Qiu; Yupeng Jiang; Yuantian Miao; Wei Luo 001; Lei Pan 002; Xi Zheng 001 (Inf. Softw. Technol., 2025)

SmartLLMs Scheduler: A Framework for Cost-Effective LLMs Utilization. - Yueyue Liu; Hongyu Zhang; Yuantian Miao (CoRR, 2025)

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning. - Bingguang Lu; Hongsheng Hu; Yuantian Miao; Shaleeza Sohail; Chaoxiang He; Shuo Wang; Xiao Chen (CoRR, 2025)

The impact of unsupervised feature selection techniques on the performance and interpretation of defect prediction models. - Zhiqiang Li; Wenzhi Zhu; Hongyu Zhang; Yuantian Miao; Jie Ren (Autom. Softw. Eng., 2025)