Our research endeavors to advance the concept of responsible artificial intelligence (AI), a
topic of increasing importance within EU policy discussions. The EU has recently issued …

Following strong regulations such as the European General Data Protection Regulation
(GDPR), privacy protection in the financial sector has recently emerged as an urgent issue …

Recent financial sector changes, including strict privacy regulations, challenge robo-
advisory companies with cybersecurity and data privacy. This study proposes a new …

With the digital transformation of enterprises and the development of digital infrastructure
(smart sensors, 5G/6G, IoT, Industrial Internet, etc.), large amounts of data are generated in …

Fully homomorphic encryption enables computations over encrypted data, which allows
privacy-preserving services to be held between a server and a client. However, real-world …

In privacy-preserving machine learning (PPML), homomorphic encryption (HE) has emerged
as a significant primitive, allowing the use of machine learning (ML) models while protecting …

Fully Homomorphic Encryption (FHE) is a cryptographic technique that enables
computations to be performed directly on encrypted data, without needing to decrypt it first …

Over the years, significant research has been conducted to enhance Artificial Intelligence
(AI), which is already widely used in various life and industry sectors. In 2020 and 2021, the …