Latest Articles for Data Privacy

Machine Learning Advances in Machine Unlearning for Generative Models

New framework helps generative models forget sensitive data while maintaining performance.

2025-09-12T09:53:54+00:00 ― 8 min read

Human-Computer Interaction Understanding Human Digital Twins: A New Approach

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

2025-09-12T08:42:48+00:00 ― 7 min read

Machine Learning Decentralized Learning: A Shift in Machine Learning

Discover how DFML transforms data learning without central servers.

2025-09-12T04:53:42+00:00 ― 7 min read

Machine Learning Federated Learning Meets Foundation Models: Challenges and Opportunities

Integrating Foundation Models with Federated Learning presents both risks and benefits.

2025-09-12T04:45:48+00:00 ― 6 min read

Machine Learning Advancements in Privacy-Preserving Neural Networks

A look at bi-CryptoNets and their impact on data privacy.

2025-09-12T01:12:30+00:00 ― 5 min read

Machine Learning Collaborative Pre-Training in Federated Learning

A strategy to enhance performance and fairness in federated learning models.

2025-09-11T18:29:36+00:00 ― 7 min read

Distributed, Parallel, and Cluster Computing Optimizing Federated Learning for IoT Devices

Enhancements in federated learning improve efficiency and privacy for IoT applications.

2025-09-11T14:32:36+00:00 ― 7 min read

Systems and Control Privacy in Distributed Device Networks: Average Consensus

Exploring methods to ensure privacy while calculating averages in device networks.

2025-09-11T12:53:30+00:00 ― 5 min read

Quantum Physics Efficient Quantum Protocol for Secure Scalar Products

A new quantum approach offers secure and efficient scalar product computation.

2025-09-11T11:02:57+00:00 ― 6 min read

Cryptography and Security Assessing Privacy Threats in Vertical Federated Learning

A look into privacy risks and defenses in Vertical Federated Learning.

2025-09-11T10:35:36+00:00 ― 6 min read

Human-Computer Interaction New Tool Improves Accuracy of App Privacy Labels

Matcha helps developers create accurate privacy labels for mobile apps.

2025-09-11T09:16:36+00:00 ― 6 min read

Cryptography and Security Addressing Privacy Risks in GPT Conversations

This article discusses the privacy concerns of using GPT models in cloud settings.

2025-09-11T02:25:48+00:00 ― 5 min read

Cryptography and Security Strengthening Security in Spiking Neural Networks and Federated Learning

This research examines vulnerabilities in SNNs combined with federated learning techniques.

2025-09-11T01:06:48+00:00 ― 6 min read

Artificial Intelligence Decentralized AI: Shifting Control for a Safer Future

Exploring the importance of decentralized AI in data privacy and ethical concerns.

2025-09-11T00:58:54+00:00 ― 6 min read

Machine Learning Advancements in Decentralized Federated Learning

DSpodFL enhances decentralized federated learning by accommodating client differences.

2025-09-10T23:47:48+00:00 ― 7 min read

Machine Learning Advancements in Federated Learning Techniques

New strategies in Federated Learning enhance privacy and efficiency in machine learning.

2025-09-10T22:16:24+00:00 ― 6 min read

Machine Learning Generating Synthetic Health Records with GPT

A new method improves synthetic electronic health records while preserving timing details.

2025-09-10T20:38:12+00:00 ― 8 min read

Machine Learning Privacy Risks in Graph Representation Learning

This study examines privacy concerns in graph representation learning and edge reconstruction attacks.

2025-09-10T18:08:06+00:00 ― 4 min read

Computer Vision and Pattern Recognition Threats to Privacy from Model Inversion Attacks

Exploring risks of model inversion attacks on private data in machine learning models.

2025-09-10T18:00:12+00:00 ― 5 min read

Machine Learning Improving Disease Detection Through Collaborative Learning

This study examines a method to enhance disease detection using multimodal data.

2025-09-10T10:22:00+00:00 ― 5 min read

Cryptography and Security Balancing Privacy and Utility in Gene Data

Examining generative models for synthetic gene expression data while ensuring patient privacy.

2025-09-10T06:17:06+00:00 ― 6 min read

Cryptography and Security Understanding Decentralized Federated Learning: Security and Privacy Issues

A deep dive into decentralized federated learning's key aspects and challenges.

2025-09-10T03:04:52+00:00 ― 6 min read

Machine Learning Balancing Privacy and Data Insights with Differential Privacy

Exploring how Differential Privacy protects personal data while providing valuable insights.

2025-09-10T00:13:42+00:00 ― 7 min read

Distributed, Parallel, and Cluster Computing Enhancing Privacy in Machine Learning with DP-MORA

A new method improves data privacy and training efficiency in decentralized learning.

2025-09-10T00:05:48+00:00 ― 5 min read

Machine Learning Introducing Flashback: Tackling Forgetting in Federated Learning

Flashback addresses forgetting in Federated Learning for improved model training and performance.

2025-09-09T18:49:48+00:00 ― 5 min read

Machine Learning New Methods for Machine Unlearning Address Privacy Concerns

Innovative approaches for removing data from AI models while maintaining privacy.

2025-09-09T17:07:06+00:00 ― 6 min read

Cryptography and Security Advancements in Private Selection for Data Privacy

New methods enhance privacy in machine learning by refining private selection mechanisms.

2025-09-09T14:52:48+00:00 ― 6 min read

Machine Learning Improving Communication in Federated Learning

A new method enhances communication efficiency in federated learning.

2025-09-09T14:47:22+00:00 ― 7 min read

Computers and Society Balancing Data Privacy and Machine Learning

Examining the relationship between data protection laws and machine learning practices.

2025-09-09T14:37:00+00:00 ― 6 min read

Machine Learning TimEHR: A New Model for Synthetic Time Series Data Generation

TimEHR generates realistic synthetic time series data from electronic health records to aid research.

2025-09-09T12:14:48+00:00 ― 5 min read

Machine Learning Privacy-Preserving Collaboration in Manufacturing

Learn how P3LS enables safe data sharing in manufacturing.

2025-09-09T11:13:36+00:00 ― 6 min read

Information Retrieval Transforming Recommendations with Large Language Models

Learn how LLMs enhance recommender systems in various fields.

2025-09-09T10:00:30+00:00 ― 5 min read

Machine Learning Advancing Federated Learning with hFedF Method

hFedF improves federated learning performance by tackling domain generalization challenges.

2025-09-09T09:21:00+00:00 ― 5 min read

Computers and Society Ethics and Privacy in Mobility Research

Exploring the balance between data collection and individual privacy rights.

2025-09-09T07:54:06+00:00 ― 6 min read

Machine Learning Balancing Privacy and Bayesian Testing

A method for conducting Bayesian tests while safeguarding individual privacy.

2025-09-09T07:53:20+00:00 ― 6 min read

Statistics Theory Protecting Privacy in Data Sharing

Exploring methods to safeguard individual data in an information-driven world.

2025-09-09T05:23:08+00:00 ― 5 min read

Software Engineering Ensuring User Privacy in Android Apps: A Guide

Learn how to protect user data in Android apps effectively.

2025-09-09T00:55:24+00:00 ― 9 min read

Computation and Language Improving LLMs with Retrieval-Augmented Thought Process

A new method enhances LLMs by integrating external knowledge for better performance.

2025-09-09T00:00:06+00:00 ― 5 min read

Cryptography and Security New Method Enhances Privacy in Data Sharing

A new approach improves privacy for sharing multi-attribute data efficiently.

2025-09-08T21:30:00+00:00 ― 5 min read

Software Engineering Balancing User Privacy and Software Debugging

Study finds trade-offs between data privacy and bug reproduction.

2025-09-08T20:42:36+00:00 ― 7 min read