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2023 Conference Publication Wemint: tainting sensitive data leaks in WeChat mini-programsMeng, Shi, Wang, Liu, Wang, Shenao, Wang, Kailong, Xiao, Xusheng, Bai, Guangdong and Wang, Haoyu (2023). Wemint: tainting sensitive data leaks in WeChat mini-programs. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), Echternach, Luxembourg, 11-15 September 2023. New York, NY, New York: Institute of Electrical and Electronics Engineers. doi: 10.1109/ASE56229.2023.00151 |
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2023 Book Chapter Preserving the privacy and cybersecurity of home energy dataBean, Richard, Zhang, Yanjun, Ko, Ryan K. L., Mao, Xinyu and Bai, Guangdong (2023). Preserving the privacy and cybersecurity of home energy data. Emerging trends in cybersecurity applications. (pp. 323-343) edited by Kevin Daimi, Abeer Alsadoon, Cathryn Peoples and Nour El Madhoun. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-09640-2_14 |
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2023 Journal Article Proactive privacy-preserving learning for cross-modal retrievalZhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2) 35, 1-23. doi: 10.1145/3545799 |
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2023 Conference Publication Supervised robustness-preserving data-free neural network pruningMeng, Mark Huasong, Bai, Guangdong, Teo, Sin G. and Dong, Jin Song (2023). Supervised robustness-preserving data-free neural network pruning. 2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS), Toulouse, France, 12 - 16 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECCS59891.2023.00013 |
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2023 Conference Publication Towards an effective and interpretable refinement approach for DNN verificationLi, Jiaying, Bai, Guangdong, Pham, Long H. and Sun, Jun (2023). Towards an effective and interpretable refinement approach for DNN verification. 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS), Chiang Mai, Thailand, 22-26 October 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/QRS60937.2023.00062 |
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2023 Conference Publication Post-GDPR threat hunting on Android phones: dissecting OS-level safeguards of user-unresettable identifiersMeng, Mark Huasong, Zhang, Qing, Xia, Guangshuai, Zheng, Yuwei, Zhang, Yanjun, Bai, Guangdong, Liu, Zhi, Teo, Sin G. and Dong, Jin Song (2023). Post-GDPR threat hunting on Android phones: dissecting OS-level safeguards of user-unresettable identifiers. Network and Distributed System Security (NDSS) Symposium 2023, San Diego, CA, United States, 27 February-3 March 2023. Reston, VA, United States: Internet Society. doi: 10.14722/ndss.2023.23176 |
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2022 Journal Article Characterizing cryptocurrency-themed malicious browser extensionsWang, Kailong, Ling, Yuxi, Zhang, Yanjun, Yu, Zhou, Wang, Haoyu, Bai, Guangdong, Ooi, Beng Chin and Dong, Jin Song (2022). Characterizing cryptocurrency-themed malicious browser extensions. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6 (3) 43, 1-31. doi: 10.1145/3570603 |
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2022 Book Network and system security: 16th international conference, NSS 2022, Denarau Island, Fiji, December 9-12, 2022, proceedingsXingliang Yuan, Guangdong Bai, Cristina Alcaraz and Suryadipta Majumdar eds. (2022). Network and system security: 16th international conference, NSS 2022, Denarau Island, Fiji, December 9-12, 2022, proceedings. Lecture Notes in Computer Science, Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-23020-2 |
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2022 Conference Publication Better together: attaining the triad of Byzantine-robust federated learning via local update amplificationShen, Liyue, Zhang, Yanjun, Wang, Jingwei and Bai, Guangdong (2022). Better together: attaining the triad of Byzantine-robust federated learning via local update amplification. 38th Annual Computer Security Applications Conference, Austin, TX, United States, 5-9 December 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3564625.3564658 |
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2022 Conference Publication SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset GenerationWan, Liuhuo, Zhang, Yanjun, Li, Ruiqing, Ko, Ryan, Hoffman, Louw and Bai, Guangdong (2022). SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, QLD Australia, 28–30 November 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-22064-7_11 |
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2022 Conference Publication Assessing certificate validation user interfaces of WPA supplicantsWang, Kailong, Zheng, Yuwei, Zhang, Qing, Bai, Guangdong, Qin, Mingchuang, Zhang, Donghui and Dong, Jin Song (2022). Assessing certificate validation user interfaces of WPA supplicants. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, MOBICOM, Sydney, NSW Australia, 17 - 21 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3495243.3517026 |
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2022 Conference Publication VITAS: guided model-based VUI testing of VPA appsLi, Suwan, Bu, Lei, Bai, Guangdong, Guo, Zhixiu, Chen, Kai and Wei, Hanlin (2022). VITAS: guided model-based VUI testing of VPA apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI USA, 10-14 October 2022. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3551349.3556957 |
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2022 Conference Publication IDEAL: high-order-ensemble adaptation network forlearning with noisy labelsZhang, Peng-Fei, Huang, Zi, Bai, Guangdong and Xu, Xin-Shun (2022). IDEAL: high-order-ensemble adaptation network forlearning with noisy labels. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548053 |
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2022 Conference Publication Machine unlearning for image retrieval : a generative scrubbing approachZhang, Peng-Fei, Bai, Guangdong, Huang, Zi and Xu, Xin-Shun (2022). Machine unlearning for image retrieval : a generative scrubbing approach. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548378 |
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2022 Conference Publication Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant AppsXie, Fuman, Zhang, Yanjun, Yan, Chuan, Li, Suwan, Bu, Lei, Chen, Kai, Huang, Zi and Bai, Guangdong (2022). Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI United States, 10 - 14 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3551349.3560416 |
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2022 Journal Article Preserving privacy for distributed genome-wide analysis against identity tracing attacksZhang, Yanjun, Bai, Guangdong, Li, Xue, Nepal, Surya, Grobler, Marthie, Chen, Chen and Ko, Ryan K. L. (2022). Preserving privacy for distributed genome-wide analysis against identity tracing attacks. IEEE Transactions on Dependable and Secure Computing, 20 (4), 1-17. doi: 10.1109/tdsc.2022.3186672 |
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2022 Conference Publication Towards better generalization for neural network-based SAT solversZhang, Chenhao, Zhang, Yanjun, Mao, Jeff, Chen, Weitong, Yue, Lin, Bai, Guangdong and Xu, Miao (2022). Towards better generalization for neural network-based SAT solvers. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, 16-19 May 2022. CHAM: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-05936-0_16 |
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2022 Journal Article Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun and Dong, Jin Song (2022). Adversarial robustness of deep neural networks: A survey from a formal verification perspective. IEEE Transactions on Dependable and Secure Computing, 1-1. doi: 10.1109/tdsc.2022.3179131 |
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2022 Journal Article Sharing runtime permission issues for developers based on similar-app review miningGao, Hongcan, Guo, Chenkai, Bai, Guangdong, Huang, Dengrong, He, Zhen, Wu, Yanfeng and Xu, Jing (2022). Sharing runtime permission issues for developers based on similar-app review mining. Journal of Systems and Software, 184 111118, 111118. doi: 10.1016/j.jss.2021.111118 |
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2022 Conference Publication UQ-AAS21: A comprehensive dataset of Amazon Alexa skillsXie, Fuman, Zhang, Yanjun, Wei, Hanlin and Bai, Guangdong (2022). UQ-AAS21: A comprehensive dataset of Amazon Alexa skills. 17th International Conference on Advanced Data Mining Applications (ADMA), Online, 2-4 February, 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-95405-5_12 |
