Biography

As a computer science student specializing in cybersecurity, I focus on the convergence of AI and biomedical applications. I conduct research aimed at strengthening the security and robustness of AI systems on edge devices, especially by employing adversarial robustness strategies and secure data handling techniques tailored to environments with limited resources. I am deeply interested in areas such as privacy protection, backdoor attack defense, and applying federated learning to construct secure models across distributed systems. My approach includes multi-level adversarial training, quantization-aware training (QAT), differential privacy, and adversarial example generation to enhance AI model robustness. I am passionate about creating cutting-edge security solutions for biomedical AI, aiming to drive advancements in healthcare technology.