The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

Foundation models have rapidly permeated society, catalyzing a wave of generative AI
applications spanning enterprise and consumer-facing contexts. While the societal impact of …

In infectious disease diagnosis, results need to be communicated rapidly to healthcare
professionals once testing has been completed so that care pathways can be implemented …

Neural network (NN) inference services enrich many applications, like image classification,
object recognition, facial verification, and more. These NN inference services are …

Machine learning (ML) models can be trade secrets due to their development cost. Hence,
they need protection against malicious forms of reverse engineering (eg, in IP piracy). With a …

Homomorphic encryption, secure multi-party computation, and differential privacy are part of
an emerging class of Privacy Enhancing Technologies which share a common promise: to …

Deep neural networks (DNNs) have been widely adopted in mobile image recognition
applications. Considering intellectual property and computation resources, the image …

A universal circuit (UC) can be thought of as a programmable circuit that can simulate any
circuit up to a certain size by specifying its secret configuration bits. UCs have been …

Advances in AI facilitate the development of numerous smart solutions that significantly
enhance efficiency and comfort for organizations and individual users. However, AI systems …

The paper presents the results of research on the development of intelligent information
technology for obtaining trust decisions to determine the constituent elements and the …