Led by Dr. Xiao Zhang, the AIR-ML lab conducts research on Adversarial, Interpretable, and Robust Machine Learning (AIR-ML), with the ultimate goal of building trustworthy AI systems that are both resilient to attacks and transparent in their decision-making. Specifically, we analyze the dynamics of ML models, develop principled tools to audit and address their vulnerabilities, and build trustworthy AI systems for real-world applications. Our lab is currently affilated with CISPA Helmholtz Center for Information Security and located in Saarbrücken, Germany.