Moreover, we cannot preempt every possible attack, and hence need techniques that can detect and name subtle patterns in data that we can act upon. In short, this research area aims to devise an engineering process that significantly improves the security and privacy of today's real-world software, that keep pace with the continuing growth in complexity for future IT systems, and that is conveniently usable even by laypeople users and developers. It provides empirical methods and tools for dealing with unstructured, heterogeneous datasets at scale, techniques for ensuring the security of web applications and services as well as usable and effective solutions for application development and maintenance.
Proceedings of the 30th Usenix Security SymposiumUsenix Security 2021
Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021)Seventeenth Symposium on Usable Privacy and Security
USENIX Security Symposium30th USENIX Security Symposium (USENIX Security'21)
USENIX Security SymposiumUSENIX Security Symposium
ACM AsiaCCSAsiaCCS 2021