We are thrilled to announce a groundbreaking development in the realm of privacy-preserving technology. Our latest research paper from Nanyang Technological University’s Strategic Centre for Research in Privacy-preserving Technologies and Systems (NTU SCRiPTS), recently published in the prestigious IEEE journal, represents a significant milestone in the integration of Fully Homomorphic Encryption (FHE) within the field of AI & Analytics.
Titled Efficient FHE-based Privacy-Enhanced Neural Network for Trustworthy AI-as-a-Service, this paper unveils a novel approach that accelerates FHE inference results. Our unique method involves running two distinct neural networks in tandem: a plaintext pre-trained neural network on a private network which handles the base convolution layers, and a ciphertext fine-tuned FHE neural network deployed on the cloud, managing the fine-tuned convolution layers. This innovative dual-network setup not only enhances computational efficiency but also upholds the highest standards of data privacy and security.
This research was a collaborative effort by a dedicated team of researchers from NTU SCRiPTS, who exclusively licenses the technology to HintSight Technology to bring the research to market. Our solution is not just a theoretical advancement but is poised to be a game-changer in real-world scenarios.
The potential applications of this technology are vast and varied. Key sectors like finance, healthcare, technology, and smart city governance stand to benefit immensely from our solution. By enabling secure, cloud-based AI & Analytics without compromising on data privacy, we are opening new frontiers for organizations handling sensitive data who require the sophistication of cloud AI models.
We believe that this research marks a pivotal moment in the journey towards a more secure and private digital future. It provides a ready solution for industries grappling with the dual challenges of data security and analytical depth.
For more details on the research and its implications, please refer to the full paper available in the IEEE journal here. You are welcome to reach out to us at info@hintsight.com for our white paper, which simplifies and explains our research in a more accessible and non-technical manner.
Stay tuned for more updates as we continue to push the boundaries of what’s possible in the world of privacy-enhancing technology.
