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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

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

AutoPer: automatic recommender for runtime-permission in Android applications

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

Deep attentive factorization machine for app recommendation service

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

LightSense: a novel side channel for zero-permission mobile user tracking

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

A projection-based approach for memory leak detection

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

A Framework for Formal Analysis of Privacy on SSO Protocols

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

Inferring implicit assumptions and correct usage of mobile payment protocols

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

App genome: callback sequencing in Android