Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
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Health Unchained Podcast on New Decentralized Industry Coalition by Ray Dogum

“…Concepts explored during the conversation include: • Financial systems interacting with health • AI agents interacting with AI agents, exchanging value and micro payments • Building frameworks that make it easy to consume for CIOs around globe • Blockchain transaction framework • AI analytical framework • Privacy preservation data complying with HIPAA and HL7 • Coming together to solve industry problems  • Real world implementations, use cases - including reporting, health data, and DeSci, clinical innovations and research, tokenization, ethical AI, and verifiable intelligence • Stable coins for cross border payments • Full access to data, and payments around globe • Supply chain ecosystem, pharmacy, pharma, insurance/payors, clinics, doctors, and patients • Who will new intermediaries be to move data, bill, and secure the data? …”
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Real-Time Tracking of Diagnostic Discrepancies in Electronic Health Records for Improved Predictive Modeling by Elizabeth A. Trader, Varadraj P. Gurupur

“…This paper highlights the critical role of diagnostic discrepancy statistics in overcoming these challenges and proposes a standardized data schema that ensures interoperable, real-time, and historical data without compromising patient privacy. …”
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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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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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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 addition, the system optimises the user experience through multi-round feedback testing, and ensures data security and privacy protection through multi-layer encryption, identity verification, and role-based access control. …”
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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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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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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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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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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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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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Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions by Alisha Suhag, Romana Burgess, Anya Skatova

“…This paper explores the potential of loyalty card data to strengthen public health surveillance across 4 key behavioral risk domains: diet, alcohol, tobacco, and over-the-counter medication use. …”
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