LabCompass

Mingming Zha

Computer Science · Indiana University

Publications

11

Citations

131

Est. group size

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Mingming Zha works in computer security, studying how attackers abuse online systems and how to detect and defend against those abuses. Recent work spans threats involving large language model agents, illicit activities such as cryptomining and drug promotion on web platforms, and privacy and security issues in mobile apps and smart-home devices.

Cybersecurity and attack detectionWeb and platform abuse measurementMobile app privacy and securitySecurity of large language model agentsAdversarial machine learning

Publication activity has been intermittent over the past decade with an uptick in the most recent year (three works dated 2026), while averaging about 1.4 publications per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 2 publications17182019: 1 publication192020: 1 publication20212022: 2 publications22232024: 1 publication242025: 1 publication252026: 3 publications326
Publishes in
  • arXiv (Cornell University)×2
  • 2022 IEEE Symposium on Security and Privacy (SP)×1
  • Lecture notes in computer science×1
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security×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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