Research Areas
Biography and Research Information
OverviewAI-generated summary
Rithyka Heng's research focuses on the intersection of artificial intelligence and cybersecurity, specifically examining the implications of large language models like ChatGPT for vulnerability management. Her work investigates the dual nature of these technologies, highlighting both their potential benefits and inherent risks within cybersecurity frameworks. Heng's scholarly output includes one publication, "When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly" (2024), which has garnered 10 citations and contributes to her h-index of 1. She collaborates with researchers at the University of Arkansas at Fayetteville, including Qinghua Li, Kylie McClanahan, and Marie Louise Uwibambe, with whom she shares a publication.
Metrics
- h-index: 1
- Publications: 1
- Citations: 10
Selected Publications
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When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly (2024)
Collaboration Network
Top Collaborators
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
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