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   Articles with "privacy risks" as a keyword



Unveiling Privacy Risks in the Long Tail: Membership Inference in Class Skewness

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recommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2025.3607261

Abstract: Real-world datasets often exhibit long-tailed distributions, raising important questions about how privacy risks evolve when machine learning (ML) models are applied to such data. In this work, we present a comprehensive analysis of membership inference… read more here.

Keywords: long tailed; privacy risks; privacy; membership inference ... See more keywords

Characterising Usage Patterns and Privacy Risks of a Home Security Camera Service

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recommendations! Published in 2022 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2020.3039787

Abstract: Home security cameras (HSCs) are becoming increasingly important in protecting people’s household property and caring for family members. As an emerging type of home IoT devices, HSCs are distinct from traditional IoT devices in that… read more here.

Keywords: usage patterns; home security; privacy risks; service ... See more keywords

The multidimensional nature of privacy risks: Conceptualisation, measurement and implications for digital services

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recommendations! Published in 2022 at "Information Systems Journal"

DOI: 10.1111/isj.12386

Abstract: While today consumers benefit from personalised service offerings, they are also understandably concerned about the privacy risks generated by disclosing their personal information online. We know that such perceived risks in general shape behaviour, but… read more here.

Keywords: privacy risks; risks conceptualisation; multidimensional nature; nature privacy ... See more keywords

Publishing neural networks in drug discovery might compromise training data privacy

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recommendations! Published in 2024 at "Journal of Cheminformatics"

DOI: 10.1186/s13321-025-00982-w

Abstract: This study investigates the risks of exposing confidential chemical structures when machine learning models trained on these structures are made publicly available. We use membership inference attacks, a common method to assess privacy that is… read more here.

Keywords: neural networks; privacy risks; privacy; drug discovery ... See more keywords

IoT Privacy Risks Revealed

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recommendations! Published in 2024 at "Entropy"

DOI: 10.3390/e26070561

Abstract: A user’s devices such as their phone and computer are constantly bombarded by IoT devices and associated applications seeking connection to the user’s devices. These IoT devices may or may not seek explicit user consent,… read more here.

Keywords: privacy risks; iot resource; device; personal data ... See more keywords