Research & Publications

My research focuses on AI safety, adversarial robustness, and applied ML in healthcare. Full list on Google Scholar.

• Prompt Injection Attacks on Agentic Coding Assistants. IJOIT 14(2), 2026. [paper]
• Breaking the Protocol: Security Analysis of MCP and Prompt Injection in Tool-Integrated LLM Agents. Modern Information Technologies and IT-education 21(3), 2026. [paper]
• Investigating LLM-as-a-Judge Vulnerability to Prompt Injection. IJOIT 13(9), 2025. [paper]
• Adversarial Attacks on LLM-as-a-Judge Systems. arXiv preprint arXiv:2504.18333, 2025. [paper]
• Prompt Injection Attacks in Defended Systems. DCCN, 2024. [paper]
• Trojan Detection in Large Language Models. Journal of Propulsion Technology 45(3), 2024. [paper]
• Neurosurgical Instrument Segmentation. MIE, 2024. [paper]
• Low-Resource Language Text Classification. SemEval, 2023. [paper]
• Blind Face Restoration Survey. IJOIT, 2023. [paper]
• Generated Text Detection (RuATD). CLITT, 2022. [paper]
• Noninvasive Glioma Grading with Deep Learning. MEDINFO, 2022. [paper]
• MR-guided Non-invasive Brain Glioma Typing. 2022. [paper]
• Synthesis of L-coordinate Parallel Mechanism. AIMEECS, 2020. [paper]

→ Full list on Google Scholar