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20192023
most citedUsage Patterns of Privacy-Enhancing Technologies

26 citations · 50 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CY2023★ 2 cited

"Un-Equal Online Safety?" A Gender Analysis of Security and Privacy Protection Advice and Behaviour Patterns

Kovila P. L. Coopamootoo, Magdalene Ng

There are indications in literature that women do not engage with security and privacy (SP) technologies, meant to keep them safe online, in the same way as men do. To better under…

cs.CY2021★ 11 cited

Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion

Karen Elliott, Kovila Coopamootoo, Edward Curran +8

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 regulat…

cs.CY2021

Identifying and Supporting Financially Vulnerable Consumers in a Privacy-Preserving Manner: A Use Case Using Decentralised Identifiers and Verifiable Credentials

Tasos Spiliotopoulos, Dave Horsfall, Magdalene Ng +3

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 financia…

cs.CY2020★ 26 cited

Usage Patterns of Privacy-Enhancing Technologies

Kovila P. L. Coopamootoo

The steady reports of privacy invasions online paints a picture of the Internet growing into a more dangerous place. This is supported by reports of the potential scale for online…

cs.CY2020

Dis-Empowerment Online: An Investigation of Privacy-Sharing Perceptions & Method Preferences

Kovila P. L. Coopamootoo

While it is often claimed that users are empowered via online technologies, there is also a general feeling of privacy dis-empowerment. We investigate the perception of privacy and…

cs.CY2019

The relationship between trust in AI and trustworthy machine learning technologies

Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3

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 tec…