Surveillance capitalism or democracy? The death match of institutional orders and the politics of knowledge in our information civilization

S Zuboff - Organization Theory, 2022 - journals.sagepub.com
Surveillance capitalism is what happened when US democracy stood down. Two decades
later, it fails any reasonable test of responsible global stewardship of digital information and …

A comprehensive analysis of privacy-preserving solutions developed for online social networks

A Majeed, S Khan, SO Hwang - Electronics, 2022 - mdpi.com
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Anonymization: The imperfect science of using data while preserving privacy

A Gadotti, L Rocher, F Houssiau, AM Creţu… - Science …, 2024 - science.org
Information about us, our actions, and our preferences is created at scale through surveys or
scientific studies or as a result of our interaction with digital devices such as smartphones …

SoK: Managing risks of linkage attacks on data privacy

J Powar, AR Beresford - Proceedings on Privacy Enhancing …, 2023 - petsymposium.org
Novel attacks on dataset privacy are usually met with the same range of responses: surprise
that a route to information gain exists from information previously thought to be safe; …

Understanding EdTech's Privacy and Security Issues: Understanding the Perception and Awareness of Education Technologies' Privacy and Security Issues

R Hasan - Proceedings on Privacy Enhancing Technologies, 2023 - petsymposium.org
A clear and well-documented LaTeX document is presented as an article formatted for
publication by ACM in a conference proceedings or journal publication. Based on the" …

Limits of individual consent and models of distributed consent in online social networks

JL Lovato, A Allard, R Harp, J Onaolapo… - Proceedings of the …, 2022 - dl.acm.org
Personal data are not discrete in socially-networked digital environments. A user who
consents to allow access to their profile can expose the personal data of their network …

Diseases prediction from officially anonymized medical and healthcare big data

H Kikuchi, S Ito, K Ikegami… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
With the advanced technologies for ubiquitous computing, the large sensitive big data is
valuable to explore the associations of data for epidemiology. New data privacy regulations …

Privacy-Preserving Payment System With Verifiable Local Differential Privacy

DM Davidow, Y Manevich, E Toch - Cryptology ePrint Archive, 2023 - eprint.iacr.org
Privacy-preserving transaction systems on blockchain networks like Monero or Zcash
provide complete transaction anonymity through cryptographic commitments or encryption …

Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks

AM Cretu, M Rusu, YA de Montjoye - arXiv preprint arXiv:2404.03948, 2024 - arxiv.org
Smart meters, devices measuring the electricity and gas consumption of a household, are
currently being deployed at a fast rate throughout the world. The data they collect are …

Developing a human centred AI masters: The good, the bad and the ugly

B Feeney, M Zuccarini, T Singh, H Aldewereld… - Proceedings of the 27th …, 2022 - dl.acm.org
The increasing use of AI in industry and society not only expects but demands that we build
human-centred competencies into our AI education programmes. The computing education …