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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Blog Post number 1
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portfolio
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publications
ALA: Naturalness-aware Adversarial Lightness Attack
Published in ACM Multimedia 2023, 2023
The proposed Adversarial Lightness Attack(ALA), a white-box unrestricted adversarial attack that focuses on modifying the lightness of the images, is to enhance the robustness of deep neural networks from a more natural way.
Recommended citation: Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu. (2023). "ALA: Naturalness-aware Adversarial Lightness Attack." ACM Multimedia 2023.
Searching for i-Good Lemmas to Accelerate Safety Model Checking
Published in CAV 2023, 2023
A new insight for improving the performance of SAT-based model checking. The definition of i-Good lemmas is simple but general, that can be proved to be effective in all state-of-the art model checkers, like Nu-XMV, IC3/PDR and SimpleCAR.
Recommended citation: Yechuan Xia, Anna Becchi, Alessandro Cimatti, Alberto Griggio, Jianwen Li, Geguang Pu. (2023). "Searching for i-Good Lemmas to Accelerate Safety Model Checking." CAV 2023.
Property-Based Testing for Validating User Privacy-Related Functionalities in Social Media Apps
Published in SIGSOFT FSE Industry Track 2024, 2024
This paper designs a property-based testing method to validate app behaviors against the properties described by the given privacy specifications.
Recommended citation: Jingling Sun, Ting Su, Jun Sun, Jianwen Li, Mengfei Wang, Geguang Pu. (2024). "Property-Based Testing for Validating User Privacy-Related Functionalities in Social Media Apps." SIGSOFT FSE Industry Track 2024.
talks
teaching
The Problem-Driven Algorithm Design
Course, East China Normal University, 2026
Course: The Problem-Driven Algorithm Design
