3 citations · 9 across the 6 of their papers we have counts for
5 papers · 1 filter
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection
Amit Chaulwar, Michael Huth
Federated analytics has many applications in edge computing, its use can lead to better decision making for service provision, product development, and user experience. We propose…
Owner-centric sharing of physical resources, data, and data-driven insights in digital ecosystems
Kwok Cheung, Michael Huth, Laurence Kirk +3
We are living in an age in which digitization will connect more and more physical assets with IT systems and where IoT endpoints will generate a wealth of valuable data. Companies,…
Scalable Information-Flow Analysis of Secure Three-Party Affine Computations
Patrick Ah-Fat, Michael Huth
Elaborate protocols in Secure Multi-party Computation enable several participants to compute a public function of their own private inputs while ensuring that no undesired informat…
Ontology-Based Reasoning about the Trustworthiness of Cyber-Physical Systems
Marcello Balduccini, Edward Griffor, Michael Huth +3
It has been challenging for the technical and regulatory communities to formulate requirements for trustworthiness of the cyber-physical systems (CPS) due to the complexity of the…
Optimal Accuracy-Privacy Trade-Off for Secure Multi-Party Computations
Patrick Ah-Fat, Michael Huth
The purpose of Secure Multi-Party Computation is to enable protocol participants to compute a public function of their private inputs while keeping their inputs secret, without res…