The conference brings together researchers and practitioners from academia and industry to discuss the security and trustworthiness of machine learning. Conference topics include: – Novel attacks and defenses for machine learning – Security and privacy in learning-based systems – Forensic analysis and interpretability – Trusted data curation and management – Verification and certification of learning models – Privacy and fairness in machine learning

IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) is technically sponsored by IEEE. The proceedings of the conference will be submitted for inclusion in prestigious databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.