The ever-growing use of digitized services poses formidable security and privacy challenges for many areas in computer science and society at large. We want to develop an integrated approach, by bringing rigorous cryptographic thinking to security engineering at large. We have identified the following challenges:

• Mathematical foundations of cryptography: develop the new mathematics necessary to the design and analysis of cryptographic schemes, rooted in algebraic number theory, geometry of numbers, algebraic geometry, coding theory, combinatorics
• Post-quantum cryptography: design new cryptographic primitives and assess their security against attacks with the (future) quantum computer
• Secure multi-party computation: design dedicated primitives scaling well for practical applications and contribute to standardization efforts (via NIST competitions)
• Secure processor technology: develop secure systems based on `hardware isolation’, by executing certain operations in isolated secure enclaves
• Resolve new security and privacy issues arising in embedded and cyber physical systems and develop new built-in secure software programming languages
• Robust intelligence that can survive a malicious world in which an adversary may manipulate (training) data and models