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SATB: A testbed of IoT-based smart agriculture network for dataset generation

Published in International Conference on Advanced Data Mining and Applications, 2022

Best Paper Runner Up Award

Recommended citation: Wan, Liuhuo, Zhang, Yanjun, Li, Ruiqing, Ko, Ryan, Hoffman, Louw, Bai, Guangdong (2022). "SATB: A testbed of IoT-based smart agriculture network for dataset generation." International Conference on Advanced Data Mining and Applications. Best Paper Runner Up Award https://cosunshine.github.io/files/Smart_Agriculture_Dataset_Paper.pdf

Don’t Bite Off More than You Can Chew: Investigating Excessive Permission Requests in Trigger-Action Integrations

Published in Proceedings of the ACM Web Conference 2024, 2024

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Recommended citation: Wan, Liuhuo, Wang, Kailong, Mahadewa, Kulani, Wang, Haoyu, Bai, Guangdong (2024). "Don't Bite Off More than You Can Chew: Investigating Excessive Permission Requests in Trigger-Action Integrations." Proceedings of the ACM Web Conference 2024. https://cosunshine.github.io/files/dont-bit-off.pdf

Exploring chatgpt app ecosystem: Distribution, deployment and security

Published in Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

ACM SIGSOFT Distinguished Paper Award

Recommended citation: Yan, Chuan, Ren, Ruomai, Meng, Mark Huasong, Wan, Liuhuo, Ooi, Tian Yang, Bai, Guangdong (2024). "Exploring chatgpt app ecosystem: Distribution, deployment and security." Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. ACM SIGSOFT Distinguished Paper Award https://cosunshine.github.io/files/chatgpt-app.pdf

Tracking gpts third party service: Automation, analysis, and insights

Published in Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

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Recommended citation: Yan, Chuan, Wan, Liuhuo, Guan, Bowei, Yu, Fengqi, Bai, Guangdong (2025). "Tracking gpts third party service: Automation, analysis, and insights." Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. https://dl.acm.org/doi/abs/10.1145/3696630.3728711

WinSpy: Cross-window Side-channel Attacks on Android’s Multi-window Mode

Published in Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

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Recommended citation: Li, Zeng, Yan, Chuan, Wan, Liuhuo, Zhuang, Hui, Hu, Pengfei, Bai, Guangdong, Shen, Yiran (2025). "WinSpy: Cross-window Side-channel Attacks on Android's Multi-window Mode." Proceedings of the 31st Annual International Conference on Mobile Computing and Networking. https://cosunshine.github.io/files/winspy.pdf

Unveiling AI-Driven Web Applications: Insights into Characteristics, Functionality, and Compliance

Published in The 48th International Conference on the Foundations of Software Engineering, 2026

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Recommended citation: Wan, Liuhuo, Liu, Zicong, Yan, Chuan, Wan, Liujia, Dong, Naipeng, Huang, Zi, Bai, Guangdong (2026). "Unveiling AI-Driven Web Applications: Insights into Characteristics, Functionality, and Compliance." The 48th International Conference on the Foundations of Software Engineering. https://cosunshine.github.io/files/unveiling_AI-driven_security.pdf

Variational Feature Compression for Model-Specific Representations

Published in International Workshop on Security in Machine Learning and its Applications (SiMLA), 2026

Recommended citation: Guo, Zinan, Wang, Zihan, Yan, Chuan, Wan, Liuhuo, Ma, Ethan, Bai, Guangdong (2026). "Variational Feature Compression for Model-Specific Representations." International Workshop on Security in Machine Learning and its Applications (SiMLA).

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