Aygun Varol
Papers
1
Total Citations
2
H-Index
1
About
Aygun Varol is a rising researcher at the intersection of cybersecurity, robotics, and artificial intelligence. Her work focuses on the emerging vulnerabilities introduced by integrating large language models (LLMs) into physical robotic systems, particularly in consumer and networked environments. Varol’s most-cited paper, “From Prompts to Motors: Man-in-the-Middle Attacks on LLM-Enabled Vacuum Robots” (2025, 2 citations), is a pioneering study that demonstrates how natural language interfaces in robots can be exploited through man-in-the-middle attacks, allowing adversaries to manipulate commands and bypass safety controls. This work has been recognized as a critical early contribution to the field of LLM-robot security, highlighting risks that extend beyond software to physical harm. Varol’s research is notable for its practical, attack-oriented methodology and its implications for the safe deployment of AI-powered autonomous systems. As the integration of LLMs into robotics accelerates, her findings serve as an essential warning for developers and policymakers, positioning her as a key voice in the responsible advancement of embodied AI.
Research Focus
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Top Papers
- 1