Upasna Sharma
Papers
1
Total Citations
2
H-Index
1
About
Upasna Sharma is a researcher focused on the intersection of artificial intelligence and cybersecurity, with a particular emphasis on strengthening the security frameworks of AI-driven systems. Her most-cited work, "Enhancing Security Measures of AI Applications" (2020), addresses the critical vulnerabilities inherent in machine learning technologies, proposing robust countermeasures to safeguard AI models against adversarial threats. Although her citation count is still emerging, this foundational paper underscores her commitment to ensuring that AI’s vast developmental potential is matched by equally advanced security protocols. Sharma’s research contributes to a growing body of work that seeks to balance innovation with safety, making her a thoughtful voice in the ongoing dialogue about responsible AI deployment. As the field continues to expand, her insights into securing AI applications offer valuable guidance for developers and policymakers alike, positioning her as a rising contributor to the future of trustworthy artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Enhancing Security Measures of AI Applications2 citations · 2020