Zhibo Jin

Through my research, I aim to advance the reliability and transparency of AI systems by bridging adversarial robustness and interpretability. My publications in top-tier venues contribute both theoretical insights and practical tools for building secure and explainable AI. I also seek to extend this impact through teaching and mentorship, supporting the development of trustworthy AI for broader societal benefit.