Data privacy is increasingly challenging in many cloud computing scenarios due to the widespread use of edge-cutting techniques, such as artificial intelligence, Internet of things (IoT), big data analytics, etc., which has become an unprecedented global motivator for change. The privacy-enhancing technologies (PETs) have emerged as a key solution to the privacy dilemma for business, in which the homomorphic encryption-based PETs are proving to be a key game changer. In recent years, homomorphic encryption (HE) has matured from the sole realm of academia to actually being used to address data privacy challenges, which allows for operations (add, multiple, etc.) on encrypted data as if it was decrypted but without exposing the sensitive content of the operation itself or the associated results. The HE shows great potential to enhance privacy preservation, secure data sharing, leverage third-party data assets without revealing sensitive data and compromising privacy and regulatory requirements. This project focuses on addressing the following data privacy challenges: (1) design and analysis a framework for the complex cryptographic primitives of homomorphic encryption, including efficient full homomorphic encryption (FHE), secure multiparty computation (MPC), multiparty homomorphic encryption (MHE), etc.; (2) investigate how to perform AI learning algorithms over encrypted data instead of raw data utilising the proposed framework.
For more details, please contact Dr Li by email: [Email Address Removed]
Entry Requirements
Academic criteria:
A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.
Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
This application is open to students worldwide.
How to apply:
Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below
This project is accepting applications all year round, for self-funded candidates via https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics
In order to be considered candidates must submit the following information:
- Supporting statement
- CV
- In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
- Qualification certificates and Transcripts
- Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
- References x 2
- Proof of English language (if applicable)
If you have any questions or need more information, please contact [Email Address Removed]