Real-Time Tracking of Diagnostic Discrepancies in Electronic Health Records for Improved Predictive Modeling by Elizabeth A. Trader, Varadraj P. Gurupur

“…By addressing the current lack of accessible diagnostic discrepancy data, the schema lays a foundation for more effective analysis, better patient outcomes, and improved use of machine learning in healthcare. …”
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Facebook as a Surveillance Tool: From the Perspective of the User by Ekaterina Petrovna Netchitailova

“…With the increasing use of online social networks such as Facebook in recent years, a lot of research has been focussing on the privacy issue of the network. …”
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Patient and clinician experiences with the implementation of telemedicine and related adaptations in office-based buprenorphine treatment during the COVID-19 pandemic: a qualitativ... by Melissa Davoust, Angela R. Bazzi, Samantha Blakemore, Juliana Blodgett, Anna Cheng, Sarah Fielman, Kara M. Magane, Jacqueline Theisen, Richard Saitz, Alicia S. Ventura, Zoe M. Weinstein

“…We coded all interview data and used a thematic analysis approach to understand how telemedicine impacted treatment quality and engagement in care, as well as preferences for using telemedicine moving forward. …”
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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“…Although there are many potential advantages of using AI to enhance medical care, they must be weighed against potential risks to patient privacy and data security. …”
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Securing gait recognition with homomorphic encryption by Marina Banov, Domagoj Pinčić, Diego Sušanj, Kristijan Lenac

“…At the same time, they raise significant privacy concerns because compromised biometric data cannot be revoked. …”
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Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…AI-powered video analytics has had a profound impact on the right to privacy, particularly due to the mass collection of biometric data and automated profiling, sparking debate over compliance with international standards such as the General Data Protection Regulation and the Convention for the Protection of Human Rights. …”
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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X by Omar Alsodi, Xujuan Zhou, Raj Gururajan, Anup Shrestha, Eyad Btoush

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A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…In this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
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Political Factors in Global Communication Platforms: Pavel Durov’s Case by Choi Keunwon, Zotova Tatyana Andreevna

“…The French authorities applied institutional pressure by using institutional advantages to achieve control over the private data of Telegram users. …”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

“…Abstract Protecting user privacy is essential in machine learning research, especially in the context of data collection. …”
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Live research dialogue on the benefits, costs and utility of synthetic data for researchers by Emily Oliver, Fiona Lugg-Widger, Maureen Haaker, Cristina Magder, Emma Gordon

“… • To discuss governance frameworks essential for the routine creation, dissemination, and use of synthetic data. • Drawing on the experience of international participants, explore measures to mitigate risks to data privacy and public perception relating to synthetic data creation and use whilst maximising its utility. …”
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Conditions for anonymity in some generic public-key encryption constructions by TIAN Yuan, DENG Lu-yao, ZHANG Hao

“…In applications of public-key encryption schemes, anonymity（key-privacy） as well as security（data-privacy） is useful and widely desired.Recently Canetti-Halevi-Katz proposed a generic and elegant IBE-based construction for（tra-ditional） public-key encryption, whose performance was improved by another construction proposed by Boneh-Katz.To analyze such two constructions’ anonymity, two new and generic concepts in IBE scheme,"master-key anonymity"and"relevant master-key anonymity"were proposed and two different sufficient conditions for chosen-ciphertext anonymity were proved for Canetti-Halevi-Katz and Boneh-Katz constructions.…”
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Efficient IoT User Authentication Protocol with Semi-Trusted Servers by Shunfang Hu, Yuanyuan Zhang, Yanru Guo, Wang Zhong, Yanru Chen, Liangyin Chen

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Conditions for anonymity in some generic public-key encryption constructions by TIAN Yuan, DENG Lu-yao, ZHANG Hao

“…In applications of public-key encryption schemes, anonymity（key-privacy） as well as security（data-privacy） is useful and widely desired.Recently Canetti-Halevi-Katz proposed a generic and elegant IBE-based construction for（tra-ditional） public-key encryption, whose performance was improved by another construction proposed by Boneh-Katz.To analyze such two constructions’ anonymity, two new and generic concepts in IBE scheme,"master-key anonymity"and"relevant master-key anonymity"were proposed and two different sufficient conditions for chosen-ciphertext anonymity were proved for Canetti-Halevi-Katz and Boneh-Katz constructions.…”
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Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications by Victoria Stanciu, Sînziana-Maria Rîndașu

“…The objective of the study is to examine the practical implications of using artificial intelligence (AI) based solutions in the case of retail mobile applications, to enhance the online shopping experience and improve the engagement by also having in mind the privacy of the users. …”
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Society 5.0: A New Challenge to Legal Norms by Nabeel Mahdi Althabhawi, Zinatul Ashiqin Zainol, Parviz Bagheri

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Telemedicine data secure sharing scheme based on heterogeneous federated learning by Nansen Wang, Jianing Zhang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang

“…However, the reuse process of telemedicine user privacy data based on federated learning also faces significant challenges. …”
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Promises and Pitfalls of Internet Search Data in Mental Health: Critical Review by Alexandre Andrade Loch, Roman Kotov

“…In this paper, we discuss the various problems related to the use of these data in research and clinical practice, including privacy concerns, integration with clinical information, and technical limitations. …”
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Establishing A Personal Data Protection Agency for E-Commerce in Indonesia by Bilqis Laila Nuzul Sa'adah, Sukarmi Sukarmi, Reka Dewantara

“… The rapid growth of e-commerce in Indonesia has led to a significant increase in the collection and processing of personal data, raising concerns regarding data security and privacy rights. …”
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A Data-Driven Approach for Generating Synthetic Load Profiles with GANs by Tsvetelina Kaneva, Irena Valova, Katerina Gabrovska-Evstatieva, Boris Evstatiev

“…The generation of realistic electrical load profiles is essential for advancing smart grid analytics, demand forecasting, and privacy-preserving data sharing. Traditional approaches often rely on large, high-resolution datasets and complex recurrent neural architectures, which can be unstable or ineffective when training data are limited. …”
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