Adaptive Transformation for Robust Privacy Protection in Video Surveillance by Mukesh Saini, Pradeep K. Atrey, Sharad Mehrotra, Mohan Kankanhalli

“…However, the current detectors are not fully reliable, leading to breaches in privacy protection. In this paper, we propose a privacy protection method that adopts adaptive data transformation involving the use of selective obfuscation and global operations to provide robust privacy even with unreliable detectors. …”
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Using fuzzy decision support to create a positive mental health environment for preschoolers by Xinyue Li

“…To assess their mental health before starting school, preschoolers need early detection, intervention, and assessment. However, data shortages, heterogeneity, privacy issues, model interpretability, and generalization restrictions hamper the review process. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…However, the impact of data normalization on their performance remains insufficiently explored. …”
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Information Security and Privacy Management in Intelligent Transportation Systems by Mariia Bakhtina, Raimundas Matulevičius, Lukaš Malina

“…First, the framework is used to extract data during the literature review defining state-of-the-art aspects and measures. …”
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Expedite Privacy-Preserving Emergency Communication Scheme for VANETs by Long Chen, Xuedan Jia, Lixia Meng, Liangmin Wang

“…But requirements of information collection and data transmission in emergency scenario are very imperative. …”
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Automated redaction of names in adverse event reports using transformer-based neural networks by Eva-Lisa Meldau, Shachi Bista, Carlos Melgarejo-González, G. Niklas Norén

“…Because the Yellow Card data contained few names, we used predictive models to select narratives for training. …”
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Sensitivity-Aware Differential Privacy for Federated Medical Imaging by Lele Zheng, Yang Cao, Masatoshi Yoshikawa, Yulong Shen, Essam A. Rashed, Kenjiro Taura, Shouhei Hanaoka, Tao Zhang

“…Our idea is that the sensitivity of each data sample can be objectively measured using real-world attacks. …”
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Federated Learning for Privacy-Preserving Employee Performance Analytics by Jay Barach

“…This paper introduces HFAN-Priv, a hierarchical federated attention network designed to predict employee resignation risk and evaluate performance trends without sharing raw data across organizations. The framework integrates feature-level and instance-level attention to model complex workforce patterns, applies differential privacy through gradient masking to ensure compliance with data protection regulations, and enhances interpretability using local SHAP and LIME explanations. …”
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DEBPIR: enhancing information privacy in decentralized business modeling by Gulshan Kumar, Rahul Saha, Mauro Conti, Tai Hoon Kim

“…Abstract Business modelling often involves extensive data collection and analysis, raising concerns about privacy infringement. …”
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Privacy for Process Mining: A Systematic Literature Review by Ibrahim Ileri, Tugba Gurgen Erdogan, Ayca Kolukisa-Tarhan

“…However, privacy preservation issues arise when handling such data. …”
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Examining the applicability of hard data protection law on demographically identifiable information (DII): the case of humanitarian UAV/drone images in Malawi by Rogers Alunge Alunge Nnangsope

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Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward by Sudeep Tanwar, Qasim Bhatia, Pruthvi Patel, Aparna Kumari, Pradeep Kumar Singh, Wei-Chiang Hong

“…The decentralized database in BT emphasizes data security and privacy. Also, the consensus mechanism in it makes sure that data is secured and legitimate. …”
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A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications by Anik Sen, Swee-Huay Heng, Shing-Chiang Tan

“…This study therefore reviews those aspects that might provide useful insights to researchers and practitioners in the development of secure, scalable, and computationally efficient FL systems, and hence facilitate their practical implementation in privacy-sensitive domains.…”
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The Nature of the Right to Personal Data: A Civil Law Perspective by L. V. Shvets

“…This paper aims to examine the nature of the right to personal data. Based on an analysis of Russian legislation, the Author concludes that there exists an unnamed, independent subjective right, which serves to enable the data subject to control and define the conditions for data processing, as well as to protect personal data from unauthorized use. …”
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Trajectory differential privacy protection mechanism based on prediction and sliding window by Ayong YE, Lingyu MENG, Ziwen ZHAO, Yiqing DIAO, Jiaomei ZHANG

“…To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation method were used to predict the location which satisfies the differential privacy and temporal and spatial security,and service similarity map was introduced to detect the availability of the location.If the prediction was successful,the prediction location was directly used to replace the location of differential disturbance,to reduce the privacy cost of continuous query and improve the quality of service.Based on this,the trajectory privacy budget allocation mechanism based on w sliding window was designed to ensure that any continuous w queries in the trajectory meet the ε-differential privacy and solve the trajectory privacy problem of continuous queries.In addition,a privacy customization strategy was designed based on the sensitivity map.By customizing the privacy sensitivity of semantic location,the privacy budget could be customized to improve its utilization.Finally,the validity of the scheme was verified by real data set experiment.The results illustrate that it offers the better privacy and quality of service.…”
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Hybrid blowfish cryptography with elliptic curve Diffie-Hellman key exchange protocol for enhancing data security and performance by K. Vignesh Saravanan, G. Sakthi Priya

“…The performance depends on factors such as Recall, Ranking Privacy, Precision, Searching Speed. The proposed algorithm efficiently retrieves the required data maintaining the privacy and identifies the relevant data at high accuracy and optimal speed. …”
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New blockchain consensus algorithm applied on healthcare industry: Proof of Visit- (POV) by Çetin Şahin, Muhammed Ali Aydin, Ahmet Sertbaş

“…In this study, it is proposed to share EHR using blockchain infrastructure and to prepare a consensus algorithm specifically for health data on the blockchain. …”
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Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models by Masab Mansoor, Kashif Ansari

“…MethodsWe used functional magnetic resonance imaging data from 1200 participants (600 with early-stage MDD and 600 healthy controls) across 3 public datasets. …”
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KL-FedDis: A federated learning approach with distribution information sharing using Kullback-Leibler divergence for non-IID data by Md. Rahad, Ruhan Shabab, Mohd. Sultan Ahammad, Md. Mahfuz Reza, Amit Karmaker, Md. Abir Hossain

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ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data Using Stable Diffusion and Large Language Models by Muhammad Ali Farooq, Wang Yao, Peter Corcoran

“…In this research, we propose the ChildDiffusion framework, designed to generate photorealistic child facial data using diffusion models. The framework integrates intelligent augmentations via short text prompts, employs various image samplers, and leverages ControlNet for enhanced model conditioning. …”
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