Overview
Background
Dr. Naipeng Dong is an expert in automatic formal verification of security and privacy in cryptographic protocols, Android applications and blockchain systems.
She has developed efficient automatic formal verification techniques with a focus on attacker reasoning and analysis on cryptogrpahic protocols, developed algorithms to verify fault-tolerance of systems with dishonest participants, and analysed systems in e-auction, e-health, Single-Sign-on authentication, and blockchain consensus.
Availability
- Dr Naipeng Dong is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, Université du Luxembourg
Research interests
-
Formal Verification
-
Security
-
Privacy
-
Cryptographic Protocols
-
Blockchain and Smart Contract
Works
Search Professor Naipeng Dong’s works on UQ eSpace
2023
Journal Article
Adversarial detection from derived models
Zhao, Fangzhen, Zhang, Chenyi, Dong, Naipeng and Li, Ming (2023). Adversarial detection from derived models. International Journal of Pattern Recognition and Artificial Intelligence, 37 (15) 2350031. doi: 10.1142/s0218001423500313
2023
Journal Article
Evasion attack and defense on machine learning models in cyber-physical systems: a survey
Wang, Shunyao, Ko, Ryan K. L., Bai, Guangdong, Dong, Naipeng, Choi, Taejun and Zhang, Yanjun (2023). Evasion attack and defense on machine learning models in cyber-physical systems: a survey. IEEE Communications Surveys and Tutorials, 26 (2), 930-966. doi: 10.1109/comst.2023.3344808
2023
Conference Publication
Quantitative explainable AI for face recognition
Peng, Shu, Dong, Naipeng and Bai, Guangdong (2023). Quantitative explainable AI for face recognition. 2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS), Toulouse, France, 14-16 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/iceccs59891.2023.00014
2022
Conference Publication
Verification of EVM Bytecode with Vale
Cumming, Daniel Keith, Utting, Mark, Dong, Naipeng, Cassez, Frank, Tork, S. B. and Risius, Marten (2022). Verification of EVM Bytecode with Vale. 6th Symposium on Distributed Ledger Technology 2022 (SDLT 2022), Gold Coast, QLD Australia, 22 November 2022.
2022
Conference Publication
DALT: Deep Activity Launching Test via intent-constraint extraction
Liu, Ao, Guo, Chenkai, Dong, Naipeng, Wang, Yinjie and Xu, Jing (2022). DALT: Deep Activity Launching Test via intent-constraint extraction. 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE), Charlotte, NC, United States, 31 October-3 November 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/issre55969.2022.00053
2022
Journal Article
QoS-aware Diversified Service Selection
Guo, Chenkai, Zhang, Weijie, Dong, Naipeng, Liu, Zheli and Xiang, Yang (2022). QoS-aware Diversified Service Selection. IEEE Transactions on Services Computing, PP (99), 2085-2099. doi: 10.1109/tsc.2022.3210658
2022
Conference Publication
SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasets
Koay, Abigail M. Y., Xie, Miao, Ko, Ryan K. L., Sterner, Charles, Choi, Taejun and Dong, Naipeng (2022). SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasets. 1st International Conference on Ubiquitous Security (UbiSec), Guangzhou, Peoples Republic of China, 28-31 December 2021. Singapore, Singapore: Springer Singapore. doi: 10.1007/978-981-19-0468-4_8
2021
Conference Publication
An analytics framework for heuristic inference attacks against industrial control systems
Choi, Taejun, Bai, Guangdong, Ko, Ryan K. L., Dong, Naipeng, Zhang, Wenlu and Wang, Shunyao (2021). An analytics framework for heuristic inference attacks against industrial control systems. 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 202, Guangzhou, China, 29 December 2020-1 January 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/TrustCom50675.2020.00112
2021
Journal Article
Callback2Vec: Callback-aware hierarchical embedding for mobile application
Guo, Chenkai, Huang, Dengrong, Dong, Naipeng, Zhang, Jianwen and Xu, Jing (2021). Callback2Vec: Callback-aware hierarchical embedding for mobile application. Information Sciences, 542, 131-155. doi: 10.1016/j.ins.2020.06.058
2020
Journal Article
Early prediction for mode anomaly in generative adversarial network training: an empirical study
Guo, Chenkai, Huang, Dengrong, Zhang, Jianwen, Xu, Jing, Bai, Guangdong and Dong, Naipeng (2020). Early prediction for mode anomaly in generative adversarial network training: an empirical study. Information Sciences, 534, 117-138. doi: 10.1016/j.ins.2020.05.046
2020
Journal Article
Review sharing via deep semi-supervised code clone detection
Guo, Chenkai, Yang, Hui, Huang, Dengrong, Zhang, Jianwen, Dong, Naipeng, Xu, Jing and Zhu, Jingwen (2020). Review sharing via deep semi-supervised code clone detection. IEEE Access, 8 8959206, 24948-24965. doi: 10.1109/access.2020.2966532
2019
Conference Publication
Deep Review Sharing
Guo, Chenkai, Huang, Dengrong, Dong, Naipeng, Ye, Quanqi, Xu, Jing, Fan, Yaqing, Yang, Hui and Xu, Yifan (2019). Deep Review Sharing. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Hangzhou, China, 24-27 February 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/saner.2019.8668037
2019
Conference Publication
Systematic comprehension for developer reply in mobile system forum
Guo, Chenkai, Wang, Weijing, Wu, Yanfeng, Dong, Naipeng, Ye, Quanqi, Xu, Jing and Zhang, Sen (2019). Systematic comprehension for developer reply in mobile system forum. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Hangzhou, Peoples Republic of China, 24-27 February 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/SANER.2019.8668016
2019
Conference Publication
AutoPer: automatic recommender for runtime-permission in Android applications
Gao, Hongcan, Guo, Chenkai, Wu, Yanfeng, Dong, Naipeng, Hou, Xiaolei, Xu, Sihan and Xu, Jing (2019). AutoPer: automatic recommender for runtime-permission in Android applications. 43rd IEEE-Computer-Society Annual International Computers, Software and Applications Conference (COMPSAC), Milwaukee, WI USA, 15-19 July 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/compsac.2019.00024
2019
Conference Publication
Deep attentive factorization machine for app recommendation service
Guo, Chenkai, Xu, Yifan, Hou, Xiaolei, Dong, Naipeng, Xu, Jing and Ye, Quanqi (2019). Deep attentive factorization machine for app recommendation service. IEEE International Conference on Web Services (IEEE ICWS) part of the IEEE World Congress on Services, Milano, Italy, 8-13 July 2019. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icws.2019.00032
2019
Conference Publication
LightSense: a novel side channel for zero-permission mobile user tracking
Ye, Quanqi, Zhang, Yan, Bai, Guangdong, Dong, Naipeng, Liang, Zhenkai, Dong, Jin Song and Wang, Haoyu (2019). LightSense: a novel side channel for zero-permission mobile user tracking. 22nd International Conference, ISC, New York, NY, United States, 16-18 September 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-30215-3_15
2018
Conference Publication
A projection-based approach for memory leak detection
Sun, Xiaohui, Xu, Sihan, Guo, Chenkai, Xu, Jing, Dong, Naipeng, Ji, Xiujuan and Zhang, Sen (2018). A projection-based approach for memory leak detection. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, 23-27 July 2018. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/compsac.2018.10271
2018
Conference Publication
A Framework for Formal Analysis of Privacy on SSO Protocols
Wang, Kailong, Bai, Guangdong, Dong, Naipeng and Dong, Jin Song (2018). A Framework for Formal Analysis of Privacy on SSO Protocols. 13th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), Niagara Falls Canada, 22-25 October 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-78813-5_41
2018
Conference Publication
Inferring implicit assumptions and correct usage of mobile payment protocols
Ye, Quanqi, Bai, Guangdong, Dong, Naipeng and Dong, Jin Song (2018). Inferring implicit assumptions and correct usage of mobile payment protocols. 13th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), Niagara Falls, Canada, 22-25 October 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-78813-5_24
2017
Conference Publication
App genome: callback sequencing in Android
Guo, Chenkai, Dong, Naipeng, Bai, Guangdong, Ye, Quanqi, Dong, Jinsong, Xu, Jing and Si, Guannan (2017). App genome: callback sequencing in Android. IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), Buenos Aires, Argentina, 20-28 May 2017. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icse-c.2017.82
Supervision
Availability
- Dr Naipeng Dong is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Analysis of Machine Learning Systems
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
-
-
Master Philosophy
Privacy Compliance in Software Ecosystems
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
-
Doctor Philosophy
Evaluating and Enhancing the Resilience of Regression-Based Anomaly Detectors Against Gradient-Free Evasion Attacks in Industrial Control Systems
Associate Advisor
Other advisors: Associate Professor Guangdong Bai, Professor Ryan Ko
-
Doctor Philosophy
IoT security analytics
Associate Advisor
Other advisors: Professor Ryan Ko, Associate Professor Guangdong Bai
-
Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Associate Professor Guangdong Bai, Professor Ryan Ko
-
Doctor Philosophy
Adversarial Cyber-Attacks and Defences for In-Vehicle Networks
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Associate Professor Guangdong Bai, Professor Ryan Ko
-
Doctor Philosophy
Robustness Verification of Neural Network
Associate Advisor
Other advisors: Associate Professor Guangdong Bai
-
Doctor Philosophy
A Trustworthy Compiler for Ethereum Smart Contracts
Associate Advisor
Other advisors: Associate Professor Mark Utting
-
Doctor Philosophy
A Distributed Data Collection Infrastructure For Automating Industrial Control Systems Security
Associate Advisor
Other advisors: Associate Professor Guangdong Bai, Professor Ryan Ko
-
Doctor Philosophy
Automated Testing of Deep Learning Systems
Associate Advisor
Other advisors: Associate Professor Dan Kim, Dr Guowei Yang
-
Doctor Philosophy
Adversarial Cyber-Attacks and Defences for In-Vehicle Networks
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
Doctor Philosophy
Virtualized Root of Trust in Cloud Computing
Associate Advisor
Other advisors: Professor Ryan Ko
-
Doctor Philosophy
Privacy Compliance in Software Ecosystems
Associate Advisor
Other advisors: Associate Professor Guangdong Bai
-
Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Associate Professor Guangdong Bai, Professor Ryan Ko
Media
Enquiries
Contact Dr Naipeng Dong directly for media enquiries about:
- Blockchain
- Formal Verification
- Security and privacy
Need help?
For help with finding experts, story ideas and media enquiries, contact our Media team: