Co-authored with FHE inventor Craig Gentry; simultaneous acceptance of both scheme and bootstrapping papers marks exceptionally rare academic featHundreds-fold speedup in matrix operations accelerates ...
Abstract: Electrocardiogram (ECG) analysis is widely used for early detection of cardiac abnormalities, yet the deployment of deep learning models in cloud environments raises concerns regarding data ...
Tech unlocks adoption: Fully homomorphic encryption now allows banks to process transactions on public blockchains while keeping sensitive data private, removing a key barrier. Payments giants invest: ...
New blockchain path: Fully homomorphic encryption enables institutions to process transactions on public blockchains without exposing confidential data, offering an alternative to traditional systems ...
OPAQUE has acquired cryptographic AI technologies developed in Abu Dhabi, expanding its confidential AI platform into model training, agentic workflows and post-quantum protection for enterprises ...
Confidential artificial intelligence platform provider Opaque Systems Inc. today announced it has acquired advanced ...
New capabilities make it possible to safely deploy AI agents on the most sensitive and regulated data — with ...
Paris, France, April 29th, 2026, ChainwireNew partnership enables banks and asset managers to execute confidential and ...
Abstract: Deep learning and fully homomorphic encryption (FHE) are integrated for privacy-preserving fingerprint recognition. Convolutional neural network (CNN) extract fingerprint features encrypted ...
Most people assume privacy and computation cannot exist together. You either hide your data or you use it. Pick one. FHE (Fully Homomorphic Encryption) says you can do both. It sounds impossible. But ...
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