The new development trends including Internet of Things (IoT), smart city, enterprises digital
transformation and world's digital economy are at the top of the tide. The continuous growth …

Cloud computing and cloud storage have contributed to a big shift in data processing and its
use. Availability and accessibility of resources with the reduction of substantial work is one of …

Fully Homomorphic Encryption (FHE) is a powerful cryptographic primitive that enables
performing computations over encrypted data without having access to the secret key. We …

Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure
offloading of computation to untrusted servers. Though it provides ideal security, FHE is …

With the advance of machine learning and the Internet of Things (IoT), security and privacy
have become critical concerns in mobile services and networks. Transferring data to a …

Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …

Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

We initiate the study of private inference on Transformer-based models in the client-server
setting, where clients have private inputs and servers hold proprietary models. Our main …

We present SimplePIR, the fastest single-server private information retrieval scheme known
to date. SimplePIR's security holds under the learning-with-errors assumption. To answer a …