Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…To address these issues, this paper proposes a system that ensures patient anonymity through secure credentials and advanced fraud detection mechanisms. Privacy is preserved using cryptographic techniques such as secure hashing and anonymous credentials, which ensure that sensitive patient information remains confidential throughout the claim process. …”
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Automated Redaction of Personally Identifiable Information on Drug Labels Using Optical Character Recognition and Large Language Models for Compliance with Thailand’s Personal Data... by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…The rapid proliferation of artificial intelligence (AI) across various industries presents both opportunities and challenges, particularly concerning personal data privacy. With the enforcement of regulations like Thailand’s Personal Data Protection Act (PDPA), organizations face increasing pressure to protect sensitive information found in diverse data sources, including product and shipping labels. …”
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Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review by Christian Herriger, Omar Merlo, Andreas B Eisingerich, Annisa Rizkia Arigayota

“… BackgroundDespite extensive research into technology users’ privacy concerns, a critical gap remains in understanding why individuals adopt different standards for data protection across contexts. …”
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Secondary Use of Electronic Health Record: Opportunities and Challenges by Shahid Munir Shah, Rizwan Ahmed Khan

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Balancing Ethics and Privacy in the Use of Artificial Intelligence in Institutions of Higher Learning: A Framework for Responsive AI Systems by Belinda Ndlovu, Kudakwashe Maguraushe

“…Thematic analysis identified ten critical themes centred around benefits, challenges, applications, responsible use, privacy and data security, ethical considerations, institutional policies and frameworks, training, equity, and sustainable AI use. …”
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Fostering social media user intentions: AI-enabled privacy and intrusiveness concerns by Muhammad Haroon Shoukat, Islam Elgammal, Kareem M. Selem, Ali Elsayed Shehata

“…Findings – Privacy concerns significantly affect perceived usefulness. …”
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Solving blockchain trilemma using off‐chain storage protocol by Saha Reno, Md. Mokammel Haque

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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

“…Data providers morph the images without privacy information using image morphing component. …”
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Protection of gait data set for preserving its privacy in deep learning pipeline by Anubha Parashar, Rajveer Singh Shekhawat

“…Such modified data prevent hackers from making use of the data set for adversarial attacks. …”
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An approach that utilizes blockchain to effectively and securely preserve data privacy for location data from IoT in smart cities by D. Rawal, J. Seedorf, B. Patil

“…Environmental surveillance, emergency response, and smart city planning all require the use of geospatial data, which includes satellite imagery, cartographic records, and real-time GPS coordinates. …”
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Security control scheme for cloud data copy based on differential privacy model by Jun REN, Jin-bo XIONG, Zhi-qiang YAO

“…In cloud computing environment,adversary may use data deduplication as a side channel to eavesdrop users’ privacy.In order to tackle this serious issue,a secure copy number control scheme was proposed.The highlights of the proposed scheme lie in constructing a hybrid cloud framework.Then file was encrypted for second times by using the privacy protection parameters of differential privacy as well as the key of the file computed by convergent encryption algorithm.After the file is uploaded,each file has only one copy in the server.Meanwhile,compared with the scheme that use setting threshold value to control the number of copies,the proposed scheme can resist against the side channel attack,related files attack,and the specific attack of encryption algorithm and save the network bandwidth and disk storage space.…”
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Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption by Maulyanda Maulyanda, Rini Deviani, Afdhaluzzikri Afdhaluzzikri

“…Protecting the privacy of medical data while enabling sophisticated data analysis is a critical challenge in modern healthcare. …”
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Privacy, personal data protection and the digital age: A (criminal) law "omnibus" by Banović Jovana M., Radisavljević Ivana M.

“…This complexity is further amplified by the development of artificial intelligence, which inherently relies on the use of vast amounts of data. The aim of this paper is to identify some of the critical elements in the protection of privacy rights, particularly those related to personal data most closely linked to individuals, and to raise the question of potential legislative amendments.…”
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A Security and Privacy Aware Computing Approach on Data Sharing in Cloud Environment by Mustafa Azeez AL Mayyahi, Seyed Amin Hosseini Seno

“…Cloud computing has changed the way that organizations manage resources due to their robustness, low cost, and pervasive nature. Data security is usually realized using different methods such as encryption. …”
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Publishing neural networks in drug discovery might compromise training data privacy by Fabian P. Krüger, Johan Östman, Lewis Mervin, Igor V. Tetko, Ola Engkvist

“…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 largely unexplored in the context of drug discovery, to examine neural networks for molecular property prediction in a black-box setting. …”
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Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy by Renwu Yan, Yang Zheng, Ning Yu, Cen Liang

“…Under the general trend of the rapid development of smart grids, data security and privacy are facing serious challenges; protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread attention. …”
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Empowering open data sharing for social good: a privacy-aware approach by Tânia Carvalho, Luís Antunes, Cristina Costa Santos, Nuno Moniz

“…Such a sharing process should adhere to state-of-the-art methods in Data Protection by Design and by Default. In this paper, we use a Covid-19 data set from Portugal’s second-largest hospital to show how it is feasible to ensure data privacy while improving the quality and maintaining the utility of the data. …”
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Federated learning: a privacy-preserving approach to data-centric regulatory cooperation by Alexander Horst, Paul Loustalot, Sanjeev Yoganathan, Ting Li, Joshua Xu, Weida Tong, David Schneider, Nicolas Löffler-Perez, Erminio Di Renzo, Michael Renaudin

“…Regulatory agencies aim to ensure the safety and efficacy of medical products but often face legal and privacy concerns that hinder collaboration at the data level. …”
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Privacy concerns and avoidance behaviour towards data-driven online behavioural advertising by Shradha Jain, H.C. Purohit

“…Design/methodology/approach – The study employed an online survey method for data collection using a sample size of 345. Reliability and validity of the measurement scales were ensured, and hypotheses developed were tested through PLS-SEM using SMART PLS. …”
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Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy by Fan Zhang, Luyao Wang, Xinhong Zhang

“…This study conducts experiments using financial data from China Stock Market & Accounting Research (CSMAR) database. …”
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