Skip to menu Skip to content Skip to footer

2025

Book Chapter

Incentivising Decentralisation with Harberger Tax

Song, Hans, Dong, Naipeng and Bai, Guangdong (2025). Incentivising Decentralisation with Harberger Tax. Communications in Computer and Information Science. (pp. 85-102) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-4442-1_6

Incentivising Decentralisation with Harberger Tax

2024

Conference Publication

Formal verification techniques for post-quantum cryptography: a systematic review

Xu, Yuexi, Li, Zhenyuan, Dong, Naipeng, Kuchta, Veronika, Hou, Zhe and Liu, Dongxi (2024). Formal verification techniques for post-quantum cryptography: a systematic review. 28th International Conference, ICECCS 2024, Limassol, Cyprus, 19-21 June 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-66456-4_19

Formal verification techniques for post-quantum cryptography: a systematic review

2024

Conference Publication

The Benefits of Non-Fungible Token (NFT) Technology in Music Copyright

Dong, Jie, Dong, Naipeng and Bai, Guangdong (2024). The Benefits of Non-Fungible Token (NFT) Technology in Music Copyright. 7th International Symposium on Distributed Ledger Technology SDLT 2023, Brisbane, QLD Australia, 30 November – 1 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-0006-6_7

The Benefits of Non-Fungible Token (NFT) Technology in Music Copyright

2024

Conference Publication

Model Checking Concurrency in Smart Contracts with a Case Study of Safe Remote Purchase

Yu, Yisong, Dong, Naipeng, Hou, Zhe and Song Dong, Jin (2024). Model Checking Concurrency in Smart Contracts with a Case Study of Safe Remote Purchase. 25th International Conference on Formal Engineering Methods, ICFEM 2024, Hiroshima, Japan, 2 - 6 December 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-0617-7_22

Model Checking Concurrency in Smart Contracts with a Case Study of Safe Remote Purchase

2024

Conference Publication

EVM-Vale: formal verification of EVM bytecode using vale

Cumming, Daniel, Utting, Mark, Cassez, Franck, Dong, Naipeng, Bayat Tork, Sadra and Risius, Marten (2024). EVM-Vale: formal verification of EVM bytecode using vale. 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, 30 November - 1 December 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-0006-6_3

EVM-Vale: formal verification of EVM bytecode using vale

2024

Book

Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected Papers

Naipeng Dong, Babu Pillai, Guangdong Bai and Mark Utting eds. (2024). Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected Papers. Communications in Computer and Information Science, Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-0006-6

Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected Papers

2024

Book Chapter

VeraciTIX: an NFT-based event ticketing system

Ward, Ryan, Jo, Komei, Dong, Naipeng, Owens, Bill and Portmann, Marius (2024). VeraciTIX: an NFT-based event ticketing system. Blockchain and smart-contract technologies for innovative applications. (pp. 189-213) edited by Nour El Madhoun, Ioanna Dionysiou and Emmanuel Bertin. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-50028-2_7

VeraciTIX: an NFT-based event ticketing system

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

Adversarial detection from derived models

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

Evasion attack and defense on machine learning models in cyber-physical systems: a survey

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

Quantitative explainable AI for face recognition

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.

Verification of EVM Bytecode with Vale

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

DALT: Deep Activity Launching Test via intent-constraint extraction

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

QoS-aware Diversified Service Selection

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

SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasets

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

An analytics framework for heuristic inference attacks against industrial control systems

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

Callback2Vec: Callback-aware hierarchical embedding for mobile application

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

Early prediction for mode anomaly in generative adversarial network training: an empirical study

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

Review sharing via deep semi-supervised code clone detection

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

Deep Review Sharing

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

Systematic comprehension for developer reply in mobile system forum