Research & Innovation

Technological leadership through research contributions

CanaryBit maintains its technological leadership through active research in Confidential Computing and Privacy-Enhancing Technologies (PETs). As a partner in research and innovation actions, CanaryBit applies state-of-the-art cybersecurity solutions to enable end-to-end encryption of data throughout its lifecycle.


CanaryBit’s solutions build on cutting-edge research conducted by our staff R&D engineers, world-class academic partners and talented students from all over the world who choose CanaryBit for their degree projects.

We are proud to continue advancing the state of the art in security and privacy while transferring results into to robust commercial products.

Confidential Federated Learning with Homomorphic Encryption
Zekun Wang
2023, MSc, KTH School of Electrical Engineering and Computer Science (EECS).

Automating Deployments of Trusted Execution Environments
Gordon Zsolt, Gidófalvy

2023, MSc. Thesis,  KTH School of Electrical Engineering and Computer Science (EECS).

Confidential Quartet: Comparison of Platforms for Virtualization-Based Confidential Computing

Roberto Guanciale, Nicolae Paladi, Arash Vahidi
2022, IEEE International Symposium on Secure and Private Execution Environment Design (SEED)

Exploring approaches for secure workload deployment and attestation in virtualization-based confidential computing environment
Ustiukhin, Artemii

2022, MSc. Thesis, Lappeenranta–Lahti University of Technology (LUT)

Chuchotage: In-line Software Network Protocol Translation for (D)TLS
Pegah N Bideh, Nicolae Paladi
2022, Proceedings of the 24th International Conference on Information and Communications Security (ICICS’22)

SGX-Bundler: speeding up enclave transitions for IO-intensive applications
Jakob Svenningsson, Nicolae Paladi, Vahidi Arash
2022, Proceedings of the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

Trusted Execution Environment deployment through cloud Virtualization: A project on scalable deployment of virtual machines
Luca Staboli

2022, MSc. Thesis,  KTH School of Electrical Engineering and Computer Science (EECS).

Protecting OpenFlow Flow Tables with Intel SGX
Nicolae Paladi, Jakob Svenningsson, Jorge Medina, Patrik Arlos
2019, IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

Privacy-enabled Recommendations for Software Vulnerabilities
Linus Karlsson, Nicolae Paladi
2019, IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress

Towards Secure Cloud Orchestration for Multi-Cloud Deployments
Nicolae Paladi, Antonis Michalas, Hai-Van Dang
2018, Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms

Safeguarding VNF credentials with Intel SGX
Nicolae Paladi, Linus Karlsson
2017, Proceedings of the SIGCOMM Posters and Demos, 144-146

Bootstrapping trust in software defined networks
Nicolae Paladi, Christian Gehrmann
2017, EAI Endorsed Transactions on Security and Safety

A survey on design and implementation of protected searchable data in the cloud
Rafael Dowsley, Antonis Michalas, Matthias Nagel, Nicolae Paladi
2017, Computer Science Review