Chaoshun Zuo
Computer Science · The Ohio State University
Publications
37
Citations
1,024
Est. group size
~1
Recurring co-author estimate
Active years
13
Publishing since 2014
Chaoshun Zuo works on mobile and network security, focusing on finding vulnerabilities in Android apps, wireless communication protocols, and hardware side channels (like wireless charger signals or NFC) that could leak private user data or be exploited by attackers. This research combines techniques such as automated program analysis, fuzz testing (feeding programs random or crafted inputs to find bugs), and machine learning to detect security flaws before they are exploited. Prospective students would likely work on building tools that automatically discover and test for security weaknesses in real-world software and devices.
Publication output has been steady over the last decade, fluctuating between roughly 1-5 papers per year without a clear upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ProtocolGuard: Detecting Protocol Non-compliance Bugs via LLM-guided Static Analysis and Dynamic Verification
2026
- Artifact for "Tap" Without Tapping: A Tag Discovery Forgery Attack on Android NFC
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Artifact for "Tap" Without Tapping: A Tag Discovery Forgery Attack on Android NFC
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Artifact for "Tap" Without Tapping: A Tag Discovery Forgery Attack on Android NFC
Zenodo (CERN European Organization for Nuclear Research) · 2026
- CSFuzzer: A grey-box fuzzer for network protocol using context-aware state feedback
Computers & Security · 2025
- Characterizing Contactless Side-Channel Eavesdropping on Wireless Chargers
IEEE Transactions on Dependable and Secure Computing · 2025
- Your Copied Data is Under Monitoring: A Study of Clipboard Usage in Android Applications
IEEE Transactions on Dependable and Secure Computing · 2025
- DEMISTIFY: Identifying On-device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile Apps
2024
- Attention! Your Copied Data is Under Monitoring: A Systematic Study of Clipboard Usage in Android Apps
2024
- Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels
2023
- Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning
2023
- A Measurement Study of Wechat Mini-Apps
ACM SIGMETRICS Performance Evaluation Review · 2021
- An empirical study of potentially malicious third-party libraries in Android apps
2020
- An automatically vetting mechanism for SSL error-handling vulnerability in android hybrid Web apps
World Wide Web · 2017
- Zenodo (CERN European Organization for Nuclear Research)×3
- USENIX Security Symposium×2
- arXiv (Cornell University)×2
- IEEE Transactions on Dependable and Secure Computing×2
- Proceedings of the ACM on Measurement and Analysis of Computing Systems×1
- Antonio Bianchi
Computer Science · Purdue University West Lafayette
- Yuqing Yang
Computer Science · The Ohio State University
- Aravind Machiry
Computer Science · Purdue University West Lafayette
- Zhiqiang Lin
Computer Science · The Ohio State University
- Carter Yagemann
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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