Latest Articles for Data Privacy

Cryptography and Security New Framework Tackles Cybersecurity in IoT

Fed-LSAE boosts security in federated learning and counters poisoning attacks.

2025-09-23T21:12:48+00:00 ― 6 min read

Cryptography and Security Balancing Data Collection and Privacy

A new toolchain for safe data analysis without compromising user privacy.

2025-09-23T20:17:30+00:00 ― 5 min read

Information Theory Security Challenges in Non-Orthogonal Multiple Access (NOMA)

NOMA presents unique security risks due to shared channels among multiple users.

2025-09-23T19:10:09+00:00 ― 5 min read

Information Theory Enhancing Security in NOMA-Enabled IIoT Networks

This study examines secure communication methods in IIoT using NOMA techniques.

2025-09-23T18:17:43+00:00 ― 6 min read

Computation and Language Safeguarding Privacy in Large Language Models

Knowledge sanitization helps protect sensitive information in language models.

2025-09-23T17:55:18+00:00 ― 6 min read

Human-Computer Interaction Evaluating Usability of Differential Privacy Tools

Study examines user-friendly aspects of popular differential privacy tools.

2025-09-22T20:27:36+00:00 ― 5 min read

Signal Processing Harnessing Edge Machine Learning for Activity Recognition

A look into Edge ML and its role in recognizing human activities.

2025-09-22T20:08:55+00:00 ― 6 min read

Networking and Internet Architecture The Future of AI in Wireless Networks

AI's role in transforming network management for advanced wireless technologies.

2025-09-22T19:56:00+00:00 ― 6 min read

Machine Learning Improving Federated Learning with Gradient Inversion

A new method enhances Federated Learning by addressing staleness and device differences.

2025-09-22T19:08:36+00:00 ― 5 min read

Cryptography and Security Secure Computation with Spiking Neural P Systems

A new protocol ensures privacy in computations using SN P systems.

2025-09-22T12:41:30+00:00 ― 5 min read

Machine Learning Advancements in Personalized Federated Learning with PFL-GAN

Introducing PFL-GAN: a tailored solution for client variability in federated learning.

2025-09-22T06:23:00+00:00 ― 6 min read

Machine Learning Improving Federated Learning with New Clustering Method

A new approach enhances federated learning for diverse client data.

2025-09-21T23:55:12+00:00 ― 7 min read

Machine Learning Addressing Harmful Content in Generative Models

A look at machine unlearning to improve generative models and their outputs.

2025-09-21T23:23:36+00:00 ― 6 min read

Machine Learning Advancements in Federated Transfer Learning for Finance

A new method enhances model accuracy through federated learning and kernel regression.

2025-09-21T06:57:42+00:00 ― 5 min read

Machine Learning Understanding Differential Privacy in Data Analysis

Differential privacy protects personal data during analysis, ensuring individual privacy.

2025-09-21T04:26:04+00:00 ― 4 min read

Machine Learning Advancements in Federated Learning with FDEQ

A look at Federated Deep Equilibrium Learning and its impact on AI.

2025-09-21T03:22:48+00:00 ― 6 min read

Machine Learning SANGEA: A New Method for Synthetic Graph Generation

SANGEA offers a scalable approach to create high-quality synthetic graphs.

2025-09-21T03:14:54+00:00 ― 6 min read

Multiagent Systems Building Trust in Collaborative Machine Learning

A guide to collaborative distributed machine learning while maintaining data privacy.

2025-09-20T22:30:30+00:00 ― 6 min read

Computers and Society Managing Data Sharing Through the Multiverse Framework

A new approach to secure data sharing while ensuring privacy and compliance.

2025-09-20T17:06:36+00:00 ― 7 min read

Health Informatics Trust in AI: A Study on ChatGPT's Role in Healthcare

Examining user trust in ChatGPT for health-related decisions.

2025-09-20T16:05:00+00:00 ― 6 min read

Quantitative Methods Advances in Genotype Imputation While Protecting Privacy

SHIELD combines genetic analysis with privacy safeguards for secure research.

2025-09-20T14:55:39+00:00 ― 6 min read

Health Informatics Synthetic Data Revolutionizes COVID-19 Risk Prediction for Veterans

Synthetic data aids in predicting COVID-19 risks among Veterans while ensuring privacy.

2025-09-20T13:48:30+00:00 ― 5 min read

Machine Learning Fairness in Federated Learning with EFFL

EFFL aims for equal model accuracy and fairness among clients in federated learning.

2025-09-20T12:14:18+00:00 ― 5 min read

Machine Learning Collaborative Learning in Prostate Segmentation: A Comparative Study

Analyzing federated and consensus methods for prostate segmentation from MRI scans.

2025-09-20T01:50:12+00:00 ― 6 min read

Computers and Society Assessing Home Location Detection Methods

A study comparing various algorithms for detecting home locations using smartphone data.

2025-09-19T18:35:42+00:00 ― 7 min read

Machine Learning Balancing Privacy and Machine Learning Techniques

Examining methods for protecting privacy in machine learning.

2025-09-19T14:22:54+00:00 ― 6 min read

Computation and Language The Role of Language Models in Mental Health Care

Examining how language models can assist in mental health support and treatment.

2025-09-19T13:11:48+00:00 ― 6 min read

Computer Vision and Pattern Recognition Advancing MRI Image Segmentation with Unsupervised Techniques

New method improves MRI segmentation by adapting models without extensive labeling.

2025-09-19T13:03:54+00:00 ― 9 min read

Machine Learning NomaFedHAP: Advancing Federated Learning in Satellite Networks

A new approach to boost machine learning efficiency in satellite communication.

2025-09-19T10:41:42+00:00 ― 6 min read

Information Retrieval Transforming Conversational Search with Personal Context

Research highlights the need for personalized responses in conversational search agents.

2025-09-19T08:59:00+00:00 ― 7 min read

Cryptography and Security Enhancing Trust in Federated Learning Systems

A new approach secures participant selection in federated learning to protect privacy.

2025-09-18T19:56:54+00:00 ― 5 min read

Machine Learning Enhancing Fairness in Federated Learning Models

This paper presents a method to improve fairness in federated learning while safeguarding data privacy.

2025-09-18T15:04:36+00:00 ― 6 min read

Machine Learning Enhancing Collaboration in Federated Reinforcement Learning

New method allows agents to learn together while managing untrustworthy influences.

2025-09-18T13:53:30+00:00 ― 6 min read

Machine Learning Advancing Federated Learning with Risk-Aware Models

A new approach to improve Federated Learning amidst uneven user participation.

2025-09-18T12:10:56+00:00 ― 4 min read

Machine Learning New Method for Private Fine-Tuning of Language Models

DP-ZO balances privacy and performance in language model training.

2025-09-18T12:02:54+00:00 ― 5 min read

Machine Learning Enhancing Communication in Federated Recommendation Systems

A new method to improve communication in FedRec while protecting user data.

2025-09-18T08:05:54+00:00 ― 5 min read

Image and Video Processing Advancements in Skin Tone Metrics for Face Recognition

New skin tone metrics aim to improve fairness and privacy in face recognition systems.

2025-09-18T06:50:10+00:00 ― 7 min read

Human-Computer Interaction Building Trust in Healthcare Voice Assistants

Exploring factors that influence trust in healthcare voice AI assistants.

2025-09-18T04:01:00+00:00 ― 4 min read

Machine Learning Machine Unlearning: A New Approach to Data Privacy

Learn how machine unlearning helps protect user privacy by removing data influence.

2025-09-18T03:05:42+00:00 ― 6 min read

Machine Learning Enhancing Federated Learning with Relaxed Contrastive Learning

A new approach to improve federated learning performance while ensuring data privacy.

2025-09-18T02:34:06+00:00 ― 7 min read