Eisdspa: An Efficient and Secure Blockchain-Based Donation Scheme With Privacy Protection and Auditability by Yong Zhou, Hong Lei, Zijian Bao

“…However, traditional donation systems, typically centralized, are prone to issues such as data redundancy, vulnerability to single-point failures, and a deficiency in transparency and traceability. …”
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A lightweight and secure authentication and privacy protection scheme for internet of medical things by Sanjay Kumar, Kumar Abhishek, Shitharth Selvarajan

“…However, transmitting sensitive patient data through IoMT devices raises significant security and privacy concerns. …”
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A robust and personalized privacy-preserving approach for adaptive clustered federated distillation by Mai Shawkat, Zainab H. Ali, Mofreh Salem, Ali El-desoky

“…Meta-learning is used in each cluster to enhance the personalization of the local models and the classification accuracy of the non-independent and Identically distributed (non-IID) data distributions. …”
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The Looming Privacy Challenges Posed by Commercial Satellite Imaging: Remedies and Research Directions by Nathanael Denis, Roberto Di Pietro

“…While these technologies benefit applications such as natural disaster monitoring and precision agriculture, they also introduce novel privacy risks. This perspective paper provides several contributions: we start by analyzing privacy risks using the LINDDUN privacy framework, categorizing threats like linking, identification, and data disclosure. …”
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Blockchain-Enabled Zero Trust Architecture for Privacy-Preserving Cybersecurity in IoT Environments by Mohammed A. Aleisa

“…This architecture entails data privacy and confidentiality, auditability and traceability, and withstanding evolving threats, including potential threats in terms of quantum attacks. …”
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Self-Disclosure on Professional Social Networking Sites: A Privacy Calculus Perspective by Imairi Eitiveni, Achmad Nizar Hidayanto, Yuvitri Annisa Dwityafani, Larastri Kumaralalita

“…A model contextualizing privacy calculus theory combined with the trust factor was developed and evaluated using 661 quantitative data collected through a questionnaire. …”
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Privacy preserving strategies for electronic health records in the era of large language models by Jitendra Jonnagaddala, Zoie Shui-Yee Wong

“…Risks can be reduced by using strategies like privacy-preserving locally deployed LLMs, synthetic data generation, differential privacy, and deidentification. …”
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Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

“…The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. …”
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Sharing images of children on social media: British motherhood influencers and the privacy paradox. by Katherine Baxter, Barbara Czarnecka

“…This study examines the extent to which popular British motherhood influencers infringe on their children's privacy by posting images of them online. We conducted a content analysis of 5,253 Instagram posts from ten UK-based influencers, supplemented by self-reported data from these influencers. …”
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Privacy Issues, Attacks, Countermeasures and Open Problems in Federated Learning: A Survey by Blessing Guembe, Sanjay Misra, Ambrose Azeta

“…Aim This study presents a cutting-edge survey on privacy issues, security attacks, countermeasures and open problems in FL.Methodology The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was used to determine the research domain, establish a search query, and analyze all retrieved articles from the selected scientific databases (i.e. …”
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Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

“…Therefore, the study examines privacy risks associated with sequential IoT device data and evaluates the effectiveness of ML algorithms using two datasets. …”
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CropsDisNet: An AI-Based Platform for Disease Detection and Advancing On-Farm Privacy Solutions by Mohammad Badhruddouza Khan, Salwa Tamkin, Jinat Ara, Mobashwer Alam, Hanif Bhuiyan

“…The integration of a differential privacy algorithm into our CropsDisNet model could establish the benefits of automated crop disease classification without compromising on-farm data privacy by reducing training data leakage. …”
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THE USE OF HUMAN CHIP IMPLANTS FROM THE HADITH PERSPECTIVE by Vira Fharadillah, Muhammad Ghifari, Abil Ash

“…Chip implants are permitted for clear medical purposes that do not cause harm, while their use for non-medical purposes or those that potentially violate privacy and pose risks is prohibited in Islam. …”
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Secure distributed data integrity auditing with high efficiency in 5G-enabled software-defined edge computing by Dengzhi Liu, Zhimin Li, Dongbao Jia

“…The auditing results of the distributed data in the proposed scheme can be used as an important basis for evaluating the trustworthiness of the edge devices. …”
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Cultural Differences in the Use of Augmented Reality Smart Glasses (ARSGs) Between the U.S. and South Korea: Privacy Concerns and the Technology Acceptance Model by Se Jung Kim, Yoon Esther Lee, T. Makana Chock

“…Korea = 898) perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention to use ARSGs were impacted by privacy concerns. …”
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Multiple modes of data sharing can facilitate secondary use of sensitive health data for research by Nicki Tiffin, Themba Mutemaringa, Tsaone Tamuhla, Eddie T Lulamba

“…Increasing volumes of highly granular data provide opportunities to leverage the evidence base, with growing recognition that health data are highly sensitive and onward research use may create privacy issues for individuals providing data. …”
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A Systematic-Narrative Review of Online Proctoring Systems and a Case for Open Standards by Eva Heinrich

“…However, concerns about data privacy and security, transparency in data processing and decision-making, and the ethical use of online proctoring systems have been raised. …”
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A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond by Ahmad Rahdari, Elham Keshavarz, Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Mohammadreza Mohammadi, Sima Sinaei, Thomas Bauschert

“…Particular attention is given to progress in federated learning, which trains a model across multiple devices without sharing the actual data, keeping data private and secure. The survey also highlights federated learning techniques, including secure federated learning, by detecting malicious updates and privacy-preserving federated learning via data encryption, data perturbation, and anonymization, as new paradigms for building responsible computing systems. …”
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Privacy Policy Pop-up: A Genre Analysis of Journal Websites’ HTTP Cookies by Lisbeth Sinan Lendik

“… Online users are made to believe that they have control over their data privacy through the selection of website cookie options. …”
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Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study by Haizhu Tan, Hongyu Chen, Zhenmao Wang, Mingguang He, Chiyu Wei, Lei Sun, Xueqin Wang, Danli Shi, Chengcheng Huang, Anping Guo

“… Abstract BackgroundFacial biometric data, while valuable for clinical applications, poses substantial privacy and security risks. …”
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