About
I am a Ph.D. student in Computer Science at Indiana University Bloomington, advised by Prof. Haixu Tang.
My research focuses on improving the reliability and safety of data-driven systems in real-world applications, including healthcare. I study how standard modeling assumptions may fail under real-world conditions, such as human perception, physical constraints, and physiological processes. My work develops evaluation methods and learning approaches to make these systems more robust and trustworthy.
Education
- Indiana University Bloomington, Ph.D. in Computer Science 2022 - Present
- Hong Kong University of Science and Technology, M.Sc. in Information Technology 2019 - 2020
- University of Electronic Science and Technology of China, B.Eng. in Communication Engineering 2011 - 2015
Experience
- Chinese University of Hong Kong, Research Assistant 2022
- Hong Kong University of Science and Technology, Research Assistant 2020 - 2022
- TP-Link Technologies Co., Ltd., Software Engineer 2015 - 2017
Publications
-
Avara: A Uniform Evaluation System for Perceptibility Analysis Against Adversarial Object Evasion Attacks
Xinyao Ma, Chaoqi Zhang*, Huadi Zhu, Jean Camp, Ming Li, Xiaojing Liao
ACM CCS 2024 (*Co-first author) [PDF] -
Measuring Compliance Implications of Third-party Libraries' Privacy Label Disclosure Guidelines
Yue Xiao, Chaoqi Zhang, Qin Yue, Fares Fahad S Alharbi, Luyi Xing, Xiaojing Liao
ACM CCS 2024 [PDF] -
iHunter: Hunting Privacy Violations at Scale in the Software Supply Chain on iOS
Dexin Liu, Yue Xiao, Chaoqi Zhang, Kaitao Xie, Xiaolong Bai, Shikun Zhang, Luyi Xing
USENIX Security 2024 [PDF] -
Cquirrel: Continuous Query Processing over Acyclic Relational Schemas
Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan
VLDB 2021 (Demo) [PDF] [Code]
Teaching
- CSCI-P536/E519 Advanced Operating System 2026
- CSCI-P538 Computer Networks 2025
- CSCI-B547/I533 Systems & Protocol Security & Information Assurance 2023, 2024, 2025
- CSCI-B544/I520 Security for Networked Systems 2024
- CSCI-B365 Data Analysis and Mining 2022, 2023
Services
- Artifact Committee, The Network and Distributed System Security Symposium (NDSS) 2026
- Artifact Committee, The ACM Conference on Computer and Communications Security (CCS) 2025
- Artifact Committee, Annual Computer Security Applications Conference (ACSAC) 2022, 2023
- Reviewer, IEEE Symposium on Security and Privacy (S&P) 2023, 2024, 2025
- Reviewer, International Symposium on Research in Attacks, Intrusions, and Defenses (RAID) 2025
- Reviewer, Annual Computer Security Applications Conference (ACSAC) 2023
- Reviewer, ACM Conference on Computer and Communications Security (CCS) 2023
Awards
- Best Poster Award, Midwest Security Workshop 2025
- Excellent Employee, TP-LINK 2016, 2017
- National Encouragement Scholarship, UESTC 2012