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2022

Conference Publication

Preface

Yuan, Xingliang, Bai, Guangdong, Alcaraz, Cristina and Majumdar, Suryadipta (2022). Preface. 16th International Conference, NSS 2022, Denarau Island, Fiji, 9–12 December 2022. Heidelberg, Germany: Springer.

Preface

2021

Conference Publication

Privacy-preserving gradient descent for distributed genome-wide analysis

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20

Privacy-preserving gradient descent for distributed genome-wide analysis

2021

Conference Publication

Identifying privacy weaknesses from multi-party trigger-action integration platforms

Mahadewa, Kulani, Zhang, Yanjun, Bai, Guangdong, Bu, Lei, Zuo, Zhiqiang, Fernando, Dileepa, Liang, Zhenkai and Dong, Jin Song (2021). Identifying privacy weaknesses from multi-party trigger-action integration platforms. ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual, Denmark, 11 - 17 July 2021. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3460319.3464838

Identifying privacy weaknesses from multi-party trigger-action integration platforms

2021

Conference Publication

MoScan: A model-based vulnerability scanner for web single sign-on services

Wei, Hanlin, Hassanshahi, Behnaz, Bai, Guangdong, Krishnan, Padmanabhan and Vorobyov, Kostyantyn (2021). MoScan: A model-based vulnerability scanner for web single sign-on services. 30th ACM SIGSOFT International Symposium on Software Testing and Analysis ISSTA 2021, Online, 11 - 17 July 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3460319.3469081

MoScan: A model-based vulnerability scanner for web single sign-on services

2021

Conference Publication

It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts

Wang, Kailong, Zhang, Junzhe, Bai, Guangdong, Ko, Ryan and Dong, Jin Song (2021). It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. WWW '21: The Web Conference 2021, Ljubljana, Slovenia, 19-23 April 2021. New York, NY United States: ACM. doi: 10.1145/3442381.3450008

It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts

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

Conference Publication

A large-scale empirical study of COVID-19 themed GitHub repositories

Wang, Liu, Li, Ruiqing, Zhu, Jiaxin, Bai, Guangdong and Wang, Haoyu (2021). A large-scale empirical study of COVID-19 themed GitHub repositories. 45th Annual International IEEE-Computer-Society Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain, 12-16 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/compsac51774.2021.00124

A large-scale empirical study of COVID-19 themed GitHub repositories

2021

Conference Publication

DeepAuto: a first step towards formal verification of deep learning systems

Lu, Yuteng, Sun, Weidi, Bai, Guangdong and Sun, Meng (2021). DeepAuto: a first step towards formal verification of deep learning systems. 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), Pittsburg, PA, United States, 1 - 10 July 2021. Skokie, IL, United States: Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2021-090

DeepAuto: a first step towards formal verification of deep learning systems

2021

Conference Publication

Understanding the impact of COVID-19 on github developers: a preliminary study

Wang, Liu, Li, Ruiqing, Zhu, Jiaxin, Bai, Guangdong, Su, Weihang and Wang, Haoyu (2021). Understanding the impact of COVID-19 on github developers: a preliminary study. 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), Pittsburg, PA, United States, 1 - 10 July 2021. Skokie, IL, United States: Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2021-132

Understanding the impact of COVID-19 on github developers: a preliminary study

2020

Journal Article

Scrutinizing implementations of smart home integrations

Mahadewa, Kulani, Wang, Kailong, Bai, Guangdong, Shi, Ling, Liu, Yan, Dong, Jin Song and Liang, Zhenkai (2020). Scrutinizing implementations of smart home integrations. IEEE Transactions on Software Engineering, 47 (12), 1-1. doi: 10.1109/tse.2019.2960690

Scrutinizing implementations of smart home integrations

2020

Journal Article

Protein-restricted diet balanced for lysine, methionine, threonine, and tryptophan for nursery pigs elicits subsequent compensatory growth and has long term effects on protein metabolism and organ development

Sun, Yuchen, Teng, Teng, Bai, Guangdong, Qiu, Shengnan, Shi, Baoming, Ju, Daxin and Zhao, Xuan (2020). Protein-restricted diet balanced for lysine, methionine, threonine, and tryptophan for nursery pigs elicits subsequent compensatory growth and has long term effects on protein metabolism and organ development. Animal Feed Science and Technology, 270 114712, 1-13. doi: 10.1016/j.anifeedsci.2020.114712

Protein-restricted diet balanced for lysine, methionine, threonine, and tryptophan for nursery pigs elicits subsequent compensatory growth and has long term effects on protein metabolism and organ development

2020

Conference Publication

Don't Fish in Troubled Waters! Characterizing Coronavirus-Themed Cryptocurrency Scams

Xia, Pengcheng, Wang, Haoyu, Luo, Xiapu, Wu, Lei, Zhou, Yajin, Bai, Guangdong, Xu, Guoai, Huang, Gang and Liu, Xuanzhe (2020). Don't Fish in Troubled Waters! Characterizing Coronavirus-Themed Cryptocurrency Scams. APWG Symposium on Electronic Crime Research (eCrime), Online, 16-19 November 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/eCrime51433.2020.9493255

Don't Fish in Troubled Waters! Characterizing Coronavirus-Themed Cryptocurrency Scams

2020

Journal Article

Dilated residual networks with multi-level attention for speaker verification

Wu, Yanfeng, Guo, Chenkai, Gao, Hongcan, Xu, Jing and Bai, Guangdong (2020). Dilated residual networks with multi-level attention for speaker verification. Neurocomputing, 412, 177-186. doi: 10.1016/j.neucom.2020.06.079

Dilated residual networks with multi-level attention for speaker verification

2020

Conference Publication

Foggy: a new anonymous communication architecture based on microservices

Wei, Hanlin, Bai, Guangdong and Luo, Zongwei (2020). Foggy: a new anonymous communication architecture based on microservices. 25th International Conference on Engineering of Complex Computer Systems (ICECCS), Singapore, Singapore, 28 - 31 October 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iceccs51672.2020.00023

Foggy: a new anonymous communication architecture based on microservices

2020

Conference Publication

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

Ji, Ru, He, Ningyu, Wu, Lei, Wang, Haoyu, Bai, Guangdong and Guo, Yao (2020). DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts. 2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS), Singapore, 28-31 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECCS51672.2020.00022

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

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

Other Outputs

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan KL (2020). PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

2020

Journal Article

Effects of early protein restriction on the growth performance and gut development of pigs fed diets with or without antibiotic

Zhao, X., Fu, H. Y., Qiu, S. N., Teng, T., Bai, G. D., Ju, D. X., Sun, Y. C. and Shi, B. M. (2020). Effects of early protein restriction on the growth performance and gut development of pigs fed diets with or without antibiotic. Animal, 14 (7) PII S1751731119002921, 1392-1401. doi: 10.1017/S1751731119002921

Effects of early protein restriction on the growth performance and gut development of pigs fed diets with or without antibiotic

2020

Journal Article

Differentially private collaborative coupling learning for recommender systems

Zhang, Yanjun, Bai, Guangdong, Zhong, Mingyang, Li, Xue and Ko, Ryan K. L. (2020). Differentially private collaborative coupling learning for recommender systems. IEEE Intelligent Systems, 36 (1) 9130104, 1-1. doi: 10.1109/MIS.2020.3005930

Differentially private collaborative coupling learning for recommender systems

2020

Journal Article

A blockchain-based decentralized booking system

Dong, Naipeng, Bai, Guangdong, Huang, Lung-Chen, Lim, Edmund Kok Heng and Dong, Jin Song (2020). A blockchain-based decentralized booking system. Knowledge Engineering Review, 35 e17, e17. doi: 10.1017/s0269888920000260

A blockchain-based decentralized booking system