Winter School on Cryptography and Machine Learning to Address AI Security and Privacy Concerns
A four-day Winter School on Cryptography and Machine Learning is scheduled for January 25-28, 2027, at Bocconi University in Milan, Italy. This event aims to bring together researchers in cryptography, theoretical computer science, machine learning, and AI safety to address critical questions surrounding the security, privacy, and safety of modern AI systems. Despite the widespread deployment of AI, there are currently few rigorous guarantees regarding these aspects. The school will cover foundational concepts and state-of-the-art research in areas such as secure computation over models, privacy and unlearning, watermarking and steganography, adversarial machine learning, robustness and backdoors, and cryptography for AI safety and agentic systems. The program is open to students and researchers at all career stages, highlighting the interdisciplinary nature of these challenges.
