activity
20042022
most citedFuture developments in cyber risk assessment for the internet of things

169 citations · 371 across the 16 of their papers we have counts for

collaborators

16 papers

cs.LG2022★ 1 cited

Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices

Amit Chaulwar, Lukas Malik, Maciej Krajewski +4

Modern search systems use several large ranker models with transformer architectures. These models require large computational resources and are not suitable for usage on devices w…

cs.CR2021

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…

cs.IT2020★ 1 cited

Two and Three-Party Digital Goods Auctions: Scalable Privacy Analysis

Patrick Ah-Fat, Michael Huth

A digital goods auction is a type of auction where potential buyers bid the maximal price that they are willing to pay for a certain item, which a seller can produce at a negligibl…

cs.CR2019★ 3 cited

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,…

cs.CY2019★ 163 cited

Artificial intelligence in cyber physical systems

Petar Radanliev, David De Roure, Max Van Kleek +2

This article conducts a literature review of current and future challenges in the use of artificial intelligence (AI) in cyber physical systems. The literature review is focused on…

cs.CR2019

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…