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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PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

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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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Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

“…Abstract In future applications of UAVs, the frequent transmission of image data raises significant security concerns, particularly regarding the privacy of facial information. …”
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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 proposed auditing scheme in this paper can be used to guarantee the correctness and the completeness of the stored data in 5G-enabled software-defined edge computing. …”
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A clustering-based approach for classifying data streams using graph matching by Yuxin Du, Mingshu He, Xiaojuan Wang

“…Abstract In response to challenges such as data encryption, uneven distribution, and user privacy concerns in network traffic classification, this paper presents a clustering-based approach.In response to challenges such as data encryption, uneven distribution, and user privacy concerns in network traffic classification, this paper presents a clustering-based approach. …”
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Synthetic healthcare data utility with biometric pattern recognition using adversarial networks by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Subhav Singh

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Secure and trusted data sharing in smart healthcare using blockchain and IoT integration by Soubhagya Ranjan Mallick, Srichandan Sobhanayak, Rakesh Kumar Lenkar

“…A device proxy monitors potentially vulnerable IoT devices and uses cryptography to ensure that data remains private. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Our approach achieves an impressive accuracy of 99.8%, underscoring its potential for robust and precise VC in ITSs using seismic data, particularly in data-scarce scenarios. …”
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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…Telemedicine is a form of healthcare delivery that employs communication technology to provide medical care to patients remotely. The use of telemedicine has seen a significant increase in recent years, presenting challenges such as patient privacy, data security, the need for reliable communication technology, and the potential for misdiagnosis without a physical examination. …”
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PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation by Zhengqiang Ge, Xinyu Liu, Qiang Li, Yu Li, Dong Guo

“…To significantly protect the user’s privacy and prevent the user’s preference disclosure from leading to malicious entrapment, we present a combination of the recommendation algorithm and the privacy protection mechanism. …”
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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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An Efficient Elliptic Curve Cryptography-Based Secure Communication with Privacy Preserving for Autonomous Vehicle by Jiongen Xiao, Yi Liu, Yi Zou, Dacheng Li, Tao Leng

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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

“…Then implement the federated learning (FL) framework with IID (Independent and identically distributed) and Non-IID datasets maintain similar results by preserving data. Further FL-QNNs approach is used with these baseline models and achieved 98-99% accuracy and while optimizing memory, preserving data and resources. …”
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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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A Telehealth Privacy and Security Self-Assessment Questionnaire for Telehealth Providers: Development and Validation by Leming Zhou, Robert Thieret, Valerie Watzlaf, Dilhari DeAlmeida, Bambang Parmanto

“…It is necessary for telehealth care providers to demonstrate that they have taken sufficient actions to protect their patients’ data security and privacy. The government provided a HIPAA audit protocol that is highly useful for internal security and privacy auditing on health care systems, however, this protocol includes extensive details that are not always specific to telehealth and therefore is difficult to be used by telehealth practitioners. …”
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