Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Toreini, Ehsan"'
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
This paper investigates the accessibility of cookie notices on websites for users with visual impairments (VI) via a set of system studies on top UK websites (n=46) and a user study (n=100). We use a set of methods and tools--including accessibility
Externí odkaz:
http://arxiv.org/abs/2308.11643
With recent developments in deep learning, the ubiquity of micro-phones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat to keyboards than ever. This paper presents a practical implementatio
Externí odkaz:
http://arxiv.org/abs/2308.01074
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
Publikováno v:
USENIX Security Symposium 2022
Online tracking is a primary concern for Internet users, yet previous research has not found a clear link between the cognitive understanding of tracking and protective actions. We postulate that protective behaviour follows affective evaluation of t
Externí odkaz:
http://arxiv.org/abs/2202.04682
Polymer banknotes are the trend for printed currency and have been adopted by more than fifty countries worldwide. However, over the past years, the quantity of polymer counterfeits has been increasing, so has the quality of counterfeits. This shows
Externí odkaz:
http://arxiv.org/abs/2103.06184
Autor:
Toreini, Ehsan1 (AUTHOR) e.toreini@surrey.ac.uk, Mehrnezhad, Maryam2 (AUTHOR), van Moorsel, Aad3 (AUTHOR)
Publikováno v:
International Journal of Information Security. Apr2024, Vol. 23 Issue 2, p981-997. 17p.
Autor:
Toreini, Ehsan, Aitken, Mhairi, Coopamootoo, Kovila P. L., Elliott, Karen, Zelaya, Vladimiro Gonzalez, Missier, Paolo, Ng, Magdalene, van Moorsel, Aad
Concerns about the societal impact of AI-based services and systems has encouraged governments and other organisations around the world to propose AI policy frameworks to address fairness, accountability, transparency and related topics. To achieve t
Externí odkaz:
http://arxiv.org/abs/2007.08911
Autor:
Ng, Magdalene, Coopamootoo, Kovila P. L., Toreini, Ehsan, Aitken, Mhairi, Elliot, Karen, van Moorsel, Aad
FinBots are chatbots built on automated decision technology, aimed to facilitate accessible banking and to support customers in making financial decisions. Chatbots are increasing in prevalence, sometimes even equipped to mimic human social rules, ex
Externí odkaz:
http://arxiv.org/abs/2006.15449
Autor:
Toreini, Ehsan, Aitken, Mhairi, Coopamootoo, Kovila, Elliott, Karen, Zelaya, Carlos Gonzalez, van Moorsel, Aad
To build AI-based systems that users and the public can justifiably trust one needs to understand how machine learning technologies impact trust put in these services. To guide technology developments, this paper provides a systematic approach to rel
Externí odkaz:
http://arxiv.org/abs/1912.00782