About UsSecure Systems Group (SSG) is part CrySP at the University of Waterloo. SSG's focus is on understanding how to design and build systems that are simultaneously secure, easy to use, and inexpensive to deploy. This involves both building and evaluating systems but also occasionally breaking the security and privacy guarantees claimed by existing systems.
SSG came to Waterloo when Prof. N. Asokan moved from Aalto University to David R. Cheriton School of Computer Science in Fall 2019. You can see more information about our past projects at the Aalto SSG pages.
Our current research interests fall into the following major themes: (for the time being, the links below take you to Aalto SSG pages).
- Platform security and applications: we investigate the design of new hardware and software platform security techniques as well as the use of current, widely deployed platform security techniques to secure applications and services.
- Machine learning and security/privacy: we study how to apply machine learning techniques to solve security and privacy problems as well as security and privacy challenges that arise in machine learning applications in general.
PublicationsOur publications from 2019 onwards can be found on the CrySP publications page. Earlier publications are available on the Aalto SSG publications page.
Sometimes we blog about our research results.
Below is a list of publicly available source code related to past and current SSG projects.
|AD3||Adversarial input detector for deep reinforncement learning (DRL)|
|C-FLAT||Control flow attestation for embetded systems software|
|CONF-ML||Conflicts between ML protection mechanisms|
|DAWN||Dynamic adversarial watermarking of neural networks|
|HardScope||Run-time scope enforement on RISC-V|
|Intel SGX related projects||Projects related to Intel Software Guard Extensions (SGX)|
|Language data augmentation||Data augmentation techniques for toxic language classification|
|MiniONN||Privacy-preserving neural networks|
|Open-TEE||Virtual TEE compliant with the GlobalPlatform TEE specification|
|RecAgglo||Recursive Agglomerative Clustering (RecAgglo) for categorical data|
|ParChoice||Effective writing style transfer via combinatorial paraphrasing|
|Pointer Authentication||Projects related to ARMv8.3-PAuth|
|PRADA||Protection against DNN model stealing attacks|
|WAFFLE||Watermarking in federated learning|