Vacancies
| Details | |
|---|---|
| Project Title | Privacy-Preserving Explainable AI for CNN Using Fully Homomorphic Encryption (FHE) |
| Grant | UTARRF 2025 Cycle 2 |
| Campus | Sg Long |
| Stipend | RM2,000.00 per month (total for 12 months = RM24,000) |
| Entry Requirement | Required academic background: Computer Science/Mathematics/Computer Engineering and other relevant fields
Required programming/coding skills
|
| Job Description | 1. To develop a framework that combines CNNs with FHE to perform computations on encrypted
data while ensuring privacy. 2. To incorporate explainable AI techniques to provide insights into the decision-making process of the CNNs without compromising data security 3. To evaluate the performance and scalability of the proposed framework in real-world applications involving sensitive data |
| Field of Study Related to the Research Project | Engineering - Master of Engineering Science |
| How to Apply | If you are interested, please contact Prof. Ts. Dr. Yap Wun She via email at yapws@utar.edu.my |
