Information Privacy

Fully Homomorphic Encryption (FHE) has rapidly evolved from a theoretical concept to a practical cryptographic tool, enabling secure computation on encrypted data. In her presentation “Introduction to Practical FHE and the TFHE Scheme”, delivered on April 30, 2020, at the Simons Institute’s Lattices: From Theory to Practice workshop, cryptographer Ilaria Chillotti provides a detailed and

Fully Homomorphic Encryption (FHE) is a groundbreaking cryptographic innovation that enables computation on encrypted data without needing to decrypt it. This capability preserves privacy throughout the data lifecycle, especially in untrusted environments like cloud servers or collaborative computations. In this article, we explore the core ideas based on Zvika Brakerski’s influential survey, Fundamentals of Fully

Homomorphic encryption (HE) has evolved from a theoretical curiosity into a cornerstone of modern privacy-preserving computation. Its development spans over four decades, marked by major breakthroughs in cryptography that have gradually turned the idea of computing on encrypted data into a practical reality. This article outlines the key milestones in the history of homomorphic encryption,

Homomorphic encryption (HE) is a powerful and advanced form of encryption that allows computations to be performed directly on encrypted data without ever needing to decrypt it. This capability significantly enhances data privacy, particularly in scenarios like cloud computing and outsourced data processing. In this article, we explore the fundamentals of homomorphic encryption, how it

Homomorphic encryption is an advanced cryptographic technique that allows computation on encrypted data without requiring access to the plaintext. This powerful capability addresses a growing need for privacy-preserving data processing, especially as more sensitive information is stored and processed in cloud environments and by third-party service providers. What Is Homomorphic Encryption? At its core, homomorphic

Effective risk assessment is at the core of any information security and privacy program. While Data Protection Impact Assessments (DPIAs) are often discussed in legal and compliance settings—especially under the GDPR—broader and more structured risk assessment models are found in ISO/IEC 27001, the international standard for Information Security Management Systems (ISMS). This article revisits the

In the digital age, organizations handle massive volumes of personal data. Ensuring that this data is used responsibly and securely is both a legal and ethical requirement. ISO/IEC 20889, a privacy-focused standard published by the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC), offers a comprehensive framework for data de-identification—the process of minimizing

n a rare behind-the-scenes look into international privacy standardization, Professor Chris Mitchell—cryptography expert and long-time ISO/IEC contributor—shared his in-depth perspective on the creation and evolution of privacy and security standards. With over three decades of experience contributing to ISO/IEC standards, including as editor of pivotal documents like ISO/IEC 20889 and ISO/IEC 27108, Prof. Mitchell offers