LabCompass

Carter Yagemann

Computer Science · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2016
Advanced Malware Detection TechniquesSecurity and Verification in ComputingNetwork Security and Intrusion DetectionSoftware Testing and Debugging TechniquesSoftware Engineering Research

Publications

23

Citations

199

Est. group size

~2

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Carter Yagemann's research focuses on computer security, particularly malware analysis, software vulnerability detection, and system integrity. Recent work examines how attackers exploit software weaknesses (such as through fault injection or firmware reverse engineering) and how defenders can detect and analyze malicious code, including large-scale threats like malicious software packages and stock market manipulation schemes. The work combines techniques from software engineering, systems security, and program analysis to build tools for detecting and understanding attacks.

Malware detection and analysisSoftware vulnerability discovery and verificationSystem and firmware securityControl-flow integrity and exploit analysisSecurity of software supply chains

Publication output has fluctuated over the past decade with gaps in some years, but has increased notably in the most recent two years (2025-2026).

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
172018: 1 publication182019: 3 publications192020: 1 publication202021: 5 publications21222023: 1 publication23242025: 5 publications252026: 6 publications626
Recent publications
Publishes in
  • arXiv (Cornell University)×9
  • Lecture notes in computer science×2
  • IEEE Security & Privacy×1
  • Annual Computer Security Applications Conference×1
  • USENIX Security Symposium×1
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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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