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 IEEE SSP 2021IEEE Symposium on Security and Privacy, Proceedings of SSP 2021
Proceedings of the 2021 Network and Distributed Systems Security SymposiumNetwork and Distributed Systems Security (NDSS) Symposium 2021
ACM Conference on Computer and Communications Security (CCS)
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Proceedings of the IEEE Interational Conference on Data Mining (ICDM)IEEE International Conference on Data Mining