🎓 PhD in Computer Science | AI Security | Adversarial Machine Learning | Model Robustness | LLM | Privacy Tech Enthusiast. I am a PhD researcher in Computer Science at Harbin Institute of Technology, Shenzhen, specializing in adversarial machine learning (AML), privacy-preserving techniques, and model robustness. My research focuses on developing secure deep learning frameworks to defend against adversarial examples (AE), backdoor attacks, and data leakage. I aim to enhance the robustness of AI systems in real-world applications, including autonomous systems, medical diagnostics, and edge computing. My current research emphasizes integrating defense mechanisms into large language models (LLM) and federated learning (FL) systems, bridging academic advances and industrial deployment of privacy-aware, secure AI Systems. With a foundation in software engineering and over 5+ years of IT industry experience, I combine theoretical insight with practical implementation. My current research applies advanced adversarial defense and privacy techniques in real-world AI applications, including autonomous systems, healthcare, and edge devices. I’m deeply interested in bridging the gap between secure AI research and its industrial deployment, especially through interpretable, resilient, and privacy-aware machine learning systems. 🤝 I'm open to academic collaborations, research positions, or industry roles focused on secure and ethical AI development Systems.