Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights by Zhen Kuang, Junyu Su, Ahmad Latifian, Sanli Eshraghi, Alireza Ghafari

“…However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced. …”
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Controlled quantum authentication confidential communication protocol for smart healthcare by Yefeng He, Jiaqiang Fan, Yichi Zhang

“…In this process, it is essential to ensure the legal identity of both parties to the communication and to protect patient privacy data from unlawful interception and tampering. …”
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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

“…However, challenges such as data privacy concerns, algorithmic biases, and the need for greater transparency are also noted. …”
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This Person Does Exist by Matthias Schäfer

“…Finally, I argue that this artistic practice is a legitimate way of opening up a larger public discourse, although artists working with human data must be aware of ethical issues and responsibilities regarding privacy and consent. …”
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Challenges in Adopting Artificial Intelligence Technologies in Supply Chain Management in Romanian Companies by Radu RUGIUBEI, Valentin STOICA

“…Key challenges identified include high implementation costs, data quality issues, and ethical concerns related to data privacy and algorithmic transparency. …”
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The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

“…However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. …”
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Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes by Sara Lopes, Miguel Mascarenhas, João Fonseca, Maria Gabriela O. Fernandes, Adelino F. Leite-Moreira

“…AI-based tools can be employed in medicine, and by extracting useful information from big data, they allow for the early diagnosis of diseases like lung cancer. …”
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Medical Photography in Dermatology: Quality and Safety in the Referral Process to Secondary Healthcare by Eduarda Castro Almeida, João Rocha-Neves, Ana Filipa Pedrosa, José Paulo Andrade

“…<b>Background:</b> Medical photography is widely used in dermatology referrals to secondary healthcare, yet concerns exist regarding image quality and data security. …”
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Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…Federated Learning (FL) has transformed machine learning by facilitating decentralized, privacy-focused data processing. Despite its advantages, FL remains vulnerable to data poisoning attacks, particularly Label-Flipping Attacks (LFA). …”
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How do we measure the costs, benefits, and harms of sharing data from biomedical studies? A protocol for a scoping review [version 2; peer review: 2 approved] by Lauren Maxwell, Ankur Krishnan, Priya Shreedhar

“…In this scoping review, we will identify and summarize existing evidence on the positive and negative impacts and costs of data sharing and how they are measured. Methods and analysis Eligible studies will report on qualitative or quantitative approaches for measuring the cost of data sharing or its impact on participant privacy, individual or public health, researcher’s careers, clinical or public health practice, or research or development. …”
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Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…Furthermore, substantial concerns revolve around data security and privacy. The digital examination process entails the collection and secure storage of sensitive student data, raising worries about potential data security breaches and violations of privacy. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…Technical risks include data security vulnerabilities and model bias, while ethical risks focus on the issues surrounding user privacy, misinformation, and intellectual property rights. …”
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Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation by Maryam Fatima, Praveen Pachauri, Wasim Akram, Mohd Parvez, Shadab Ahmad, Zeinebou Yahya

“…However, several studies highlighted concerns about algorithmic bias, data privacy, and the need for diverse and representative datasets to ensure generalizability across different populations. …”
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CogTrack: A Proof of Concept for Cognition Tracker by Yesoda Bhargava, Kanthi Kumar Kattupalli, Veeky Baths

“…Additionally, we discuss how CogTrack may be advanced in the future and reflect on critical issues related to data privacy, confidentiality, ethics, scalability, and socio-medical factors which influence CogTrack adoption and acceptability. …”
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Evaluasi Kerentanan Insecure Direct Object Reference pada Aplikasi Pendaftaran Sidang Universitas XYZ by Stefanus Eko Prasetyo, Haeruddin, Tiara

“… This study aims to analyze and evaluate the vulnerability of Insecure Direct Object Reference (IDOR) in the thesis registration web application at XYZ University, as well as to provide improvement recommendations to enhance the security of students' personal data. The IDOR vulnerability allows unauthorized access to students' personal documents, which can jeopardize privacy and information security. …”
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Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends by Md Amran Hossen, Pg Emeroylariffion Abas

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Tree-to-Me: Standards-Driven Traceability for Farm-Level Visibility by Ya Cho, Arbind Agrahari Baniya, Kieran Murphy

“…These systems also fail to standardise and integrate diverse data sources, ensure data privacy, and scale effectively to meet the demands of modern agriculture. …”
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Building a Comprehensive Trust Evaluation Model to Secure Cloud Services From Reputation Attacks by Salah T. Alshammari, Muna Al-Razgan, Taha Alfakih, Khalid A. AlGhamdi

“…A significant concern in the field of cloud computing is the security and confidentiality of data. A cryptographic access control technique can be used to guarantee data privacy, which prevents unauthorized access and allows only authorized users to access the data. …”
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SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization by Ayoub El-Niss, Ahmad Alzu'Bi, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Ammar Muthanna

“…Federated Learning (FL) enables decentralized training of machine learning models across multiple clients, preserving data privacy by aggregating locally trained models without sharing raw data. …”
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GenAI-Based Jamming and Spoofing Attacks on UAVs by Burcu Sonmez Sarikaya, Serif Bahtiyar

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