IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

The IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) is a conference that gathers researchers and practitioners from academia and industry to discuss the security and trustworthiness of machine learning. Topics include attacks and defenses for ML, security and privacy in learning-based systems, forensic analysis and interpretability, trusted data curation and management, verification and certification of learning models, and privacy and fairness in ML.