Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Fully Homomorphic Encryption (FHE) allows data to be processed without ever being decrypted. This means a third party can run meaningful computations on encrypted information without seeing the ...

An extremely rare and operational Nazi Enigma encryption machine, famously cracked by Allied codebreakers during World War II, has sold for nearly half a million euros in Paris, double its expected ...

An extremely rare and operational Nazi Enigma encryption machine, famously cracked by Allied codebreakers during World War II, has sold for nearly half a million euros in Paris, double its expected ...

Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. Artificial intelligence depends on ...

Through the looking glass: Artist Stephanie Rentschler recently unveiled SlimeMoldCrypt, an interactive installation where art meets science by using biology to generate stronger encryption keys.

Abstract: Privacy in machine learning is essential as personal data usage grows. Fully Homomorphic Encryption (FHE) enables encrypted computations but is ...

In this video, we explore the workings of the Enigma machine, focusing on its historical significance and mechanical operations. The animation employs Blender 3D to visually illustrate the machine's ...