Grant Calls
DTC will be launching a research excellence grant call and an innovation grant call to support the development of trust technologies and innovation that solve real-world problems to create a digital world that is safe, transparent and accountable, while generating national benefits for Singapore.
The proposed opportunities and focus areas shall include, but not limited to, the following:
- Trusted Analysis: Derivation of insights while protecting and preserving privacy of data
- Trusted Identity: Emerging trust areas in verifiability and authentication
- Trusted Compute: In distributed architectures and heterogeneous platforms
- Trusted Accreditation: Technologies for testing & audit to accredit trustworthy products and services
Awarded Projects
| 1 | Use of Privacy-Enhancing Technologies to enable real-life applications for healthcare | A*STAR/I2R |
| 2 | Trusted Decentralised Identities | SMU |
| 3 | Verifiable Computation in the Face of Malicious Adversaries | NTU |
| 4 | Combatting Prejudice in AI: A Responsible AI Framework for Continual Fairness Testing, Repair, and Transfer | A*STAR/IHPC |
| 5 | Trust Verification of the Knowns and Unknowns in Reinforcement Learning | A*STAR/IHPC |
| 6 | Towards More Trustworthy Generative AI through Robustness Enhancement and Hallucination Reduction | NTU |
| 7 | Evaluating, Detecting, and Mitigating the Risks of Diffusion Models for Fair, Robust, and Toxic Content-Free Generative AI | NTU |
| 8 | Real-Time Federated Learning on Data Streams | NUS |
| 9 | Scalable Evaluation for Trustworthy Explainable AI | NUS |
| 1 | Privacy Enhanced Collaborative Learning System for Immunotherapy Patient Selection Assistance | A*STAR |
| 2 | Reassemble Data Before Sharing: Innovative Privacy-Preserved Data-Sharing Solutions for Cloud Services | A*STAR |
| 3 | Real-Time De-Identified Incident Monitoring System for Preschools | A*STAR |
| 4 | Scalable ZKP-Enhanced Protocols for Privacy-Preserving Token Systems over Blockchain | NTU |
| 5 | Federated learning for collaborative ship fuel consumption prediction: Employing trusted AI to enable maritime decarbonisation and digitalisation | NTU |
| 6 | Real-Time Compliant Oracle for Multichain Financial Products | NUS |
| 7 | Multi-Party Evaluation: Blockchain-Enabled AI Safety and Verification Framework | NUS |
| 8 | Causality-Aided Systematic Safeguarding of Large Models | SMU |