Zhiqiang Lin
Computer Science · The Ohio State University
Publications
234
Citations
5,803
Est. group size
~6
Recurring co-author estimate
Active years
31
Publishing since 1996
Zhiqiang Lin works in computer security, focusing on finding and preventing vulnerabilities in software systems such as mobile apps, smart contracts, IoT devices, and databases. Recent work examines malicious mobile 'miniapps', Android system security, blockchain smart contract analysis, and using large language models for tasks like deobfuscating code or benchmarking binary analysis. This research area is broadly about system security and software analysis, aimed at detecting malware, privacy leaks, and logic flaws in real-world software.
Publication output has grown over the last decade, rising from around 10 per year in 2017 to over 20 per year in 2024-2025, with some year-to-year fluctuation but an overall upward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Current status of vaccine clinical trials registered on China's Drug Trial Registration and information disclosure platform, 2013–2024
Frontiers in Public Health · 2026
- Real or Rogue? Detecting Malicious Miniapps with Deceptive Reporting Interface
2026
- The Rise of Miniapps: A New Frontier with Security Challenges in Mobile Apps
CISPA Helmholtz Center · 2026
- Fragile Deliveries: Inconsistencies in Android Parcel and Their Security Consequences
CISPA Helmholtz Center · 2026
- The Rise of Miniapps: A New Frontier with Security Challenges in Mobile Apps
Figshare · 2026
- Real or Rogue? Detecting Malicious Miniapps with Deceptive Reporting Interface
Figshare · 2026
- Real or Rogue? Detecting Malicious Miniapps with Deceptive Reporting Interface
CISPA Helmholtz Center · 2026
- Fragile Deliveries: Inconsistencies in Android Parcel and Their Security Consequences
Figshare · 2026
- The Treacherous Envoy Problem: Trust, Collusion, and Accountability in Multi-Agent Workflows [Blue Sky Paper]
2026
- REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names
2026
- Beehive: Decentralised High-Frequency Small Tasks Scheduling in Large Clusters
IEEE Transactions on Parallel and Distributed Systems · 2025
- Breaking BLE MAC Address Randomization with Allowlist-Based Side Channels and its Countermeasure
ACM Transactions on Privacy and Security · 2025
- Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems
Proceedings of the ACM on Management of Data · 2025
- An Empirical Study of Proxy Contracts at the Ethereum Ecosystem Scale
2025
- <scp>JsDeObsBench:</scp> Measuring and Benchmarking LLMs for JavaScript Deobfuscation
2025
- arXiv (Cornell University)×11
- USENIX Security Symposium×9
- Lecture notes in computer science×6
- Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering×4
- Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security×4
- Mingming Zha
Computer Science · Indiana University
- Carter Yagemann
Computer Science · The Ohio State University
- Yuqing Yang
Computer Science · The Ohio State University
- Luyi Xing
Computer Science · Indiana University
- Antonio Bianchi
Computer Science · Purdue University West Lafayette
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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