Luyi Xing
Computer Science · Indiana University
Publications
49
Citations
1,105
Est. group size
—
Recurring co-author estimate
Active years
17
Publishing since 2010
Luyi Xing researches computer security and privacy, focusing on finding vulnerabilities and design flaws in real-world systems such as mobile apps, smart-home devices, and AI-powered software. Recent work applies large language models (LLMs) both to detect security bugs and to study new threats to AI agents, alongside studies of privacy risks in mobile ecosystems and Internet-of-Things (IoT) protocols. The research combines empirical measurement of security/privacy problems with formal analysis and verification of software implementations.
Publication activity has been growing, with output rising over the last few years to a peak in 2025 and steady recent activity averaging about five papers per year.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Execution-State-Aware LLM Reasoning for Automated Proof-of-Vulnerability Generation
arXiv (Cornell University) · 2026
- Execution-State-Aware LLM Reasoning for Automated Proof-of-Vulnerability Generation
Open MIND · 2026
- Agent Data Injection Attacks are Realistic Threats to AI Agents
arXiv (Cornell University) · 2026
- Agent Data Injection Attacks are Realistic Threats to AI Agents
arXiv (Cornell University) · 2026
- Understanding and Analyzing Privacy Risks in Mobile Consent-Management Platforms
2026
- JBomAudit: Assessing the Landscape, Compliance, and Security Implications of Java SBOMs
2025
- Hidden and Lost Control: on Security Design Risks in IoT User-Facing Matter Controller
2025
- WIP: Towards Privacy Compliance by Design in the Matter Protocol
2025
- SKILLPoV: Towards Accessible and Effective Privacy Notice for Amazon Alexa Skills
2025
- Natural language interaction protocol (NLIP)
2025
- Security design for NLIP: a universal protocol for AI-enabled systems
2025
- SaTS '25: The 3rd ACM Workshop on Security and Privacy of AI-Empowered Mobile Super Apps
2025
- LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
2025
- Measuring Compliance Implications of Third-party Libraries' Privacy Label Disclosure Guidelines
2024
- MQTTactic: Security Analysis and Verification for Logic Flaws in MQTT Implementations
2024
- arXiv (Cornell University)×5
- Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security×2
- IEEE Transactions on Dependable and Secure Computing×1
- 2022 IEEE Symposium on Security and Privacy (SP)×1
- USENIX Security Symposium×1
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 11, 2026.
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