Zobrazeno 1 - 10
of 154
pro vyhledávání: '"van Moorsel, Aad"'
Autor:
Chen, Jing, Elliott, Karen, Knottenbelt, William, van Moorsel, Aad, Orpin, Helen, Robertson, Sheena, Vines, John, Wolter, Katinka
This document presents a research agenda for financial services as a deliverable of UKFin+, a Network Plus grant funded by the Engineering and Physical Sciences Research Council. UKFin+ fosters research collaborations between academic and non-academi
Externí odkaz:
http://arxiv.org/abs/2411.13389
Fair machine learning is a thriving and vibrant research topic. In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to computes and verify the fairness of any machine learning (ML) model. In th
Externí odkaz:
http://arxiv.org/abs/2309.06061
Generative Adversarial Networks (GANs) have achieved state-of-the-art results in tabular data synthesis, under the presumption of direct accessible training data. Vertical Federated Learning (VFL) is a paradigm which allows to distributedly train mac
Externí odkaz:
http://arxiv.org/abs/2302.01706
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2023), 17(1), 1112-1121
The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper
Externí odkaz:
http://arxiv.org/abs/2301.06601
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning methodology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, v
Externí odkaz:
http://arxiv.org/abs/2210.06856
While Identity Document Verification (IDV) technology on mobile devices becomes ubiquitous in modern business operations, the risk of identity theft and fraud is increasing. The identity document holder is normally required to participate in an onlin
Externí odkaz:
http://arxiv.org/abs/2206.02136
Autor:
Ng, Magdalene, Coopamootoo, Kovila P. L., Spiliotopoulos, Tasos, Horsfall, Dave, Aitken, Mhairi, Toreini, Ehsan, Elliott, Karen, van Moorsel, Aad
In the past decade, the financial industry has experienced a technology revolution. While we witness a rapid introduction of conversational bots for financial services, there is a lack of understanding of conversational user interfaces (CUI) features
Externí odkaz:
http://arxiv.org/abs/2204.10344
Autor:
Elliott, Karen, Coopamootoo, Kovila, Curran, Edward, Ezhilchelvan, Paul, Finnigan, Samantha, Horsfall, Dave, Ma, Zhichao, Ng, Magdalene, Spiliotopoulos, Tasos, Wu, Han, van Moorsel, Aad
Publikováno v:
Data & Policy (2022), 4: e34
Financial inclusion depends on providing adjusted services for citizens with disclosed vulnerabilities. At the same time, the financial industry needs to adhere to a strict regulatory framework, which is often in conflict with the desire for inclusiv
Externí odkaz:
http://arxiv.org/abs/2112.09767
Autor:
Spiliotopoulos, Tasos, Horsfall, Dave, Ng, Magdalene, Coopamootoo, Kovila, van Moorsel, Aad, Elliott, Karen
Vulnerable individuals have a limited ability to make reasonable financial decisions and choices and, thus, the level of care that is appropriate to be provided to them by financial institutions may be different from that required for other consumers
Externí odkaz:
http://arxiv.org/abs/2106.06053
A vulnerability scan combined with information about a computer network can be used to create an attack graph, a model of how the elements of a network could be used in an attack to reach specific states or goals in the network. These graphs can be u
Externí odkaz:
http://arxiv.org/abs/2103.10212