Latest Articles for Data Privacy

Machine Learning Advancements in Personalized Federated Learning with PAC-PFL

A new algorithm enhancing model personalization while maintaining data privacy.

2025-09-16T16:12:12+00:00 ― 7 min read

Machine Learning Improving Federated Learning Through Efficient Communication

A new method enhances federated learning by reducing communication burdens and tackling client drift.

2025-09-16T09:19:58+00:00 ― 5 min read

Machine Learning Advancing Machine Unlearning with Contrastive Techniques

Contrastive unlearning efficiently removes data influence while preserving model performance.

2025-09-16T06:27:36+00:00 ― 5 min read

Cryptography and Security Vulnerabilities in Federated Learning with Foundation Models

Examining the risks of integrating Foundation Models into Federated Learning systems.

2025-09-16T05:40:12+00:00 ― 7 min read

Machine Learning The Challenge of Machine Unlearning in Data Privacy

Machine unlearning methods are vital for respecting data privacy rights.

2025-09-16T05:32:18+00:00 ― 4 min read

Machine Learning Balancing Privacy and Accuracy in Machine Learning Regression

A new algorithm improves regression analysis while prioritizing data privacy.

2025-09-16T01:46:16+00:00 ― 6 min read

Cryptography and Security New Method Exposes Vulnerabilities in Neural Networks

CleanSheet advances model hijacking without altering training processes.

2025-09-16T01:03:42+00:00 ― 6 min read

Cryptography and Security Differential Privacy: Protecting Individual Information in Data Sharing

A look at how differential privacy safeguards individual data privacy.

2025-09-15T20:13:28+00:00 ― 6 min read

Machine Learning Improving Federated Learning with Support Vector Machines

A new method enhances federated learning efficiency while maintaining data privacy.

2025-09-15T06:37:42+00:00 ― 8 min read

Cryptography and Security Security Challenges in the Internet of Things

A look at the security risks facing IoT devices empowered by machine learning.

2025-09-15T05:10:48+00:00 ― 6 min read

Computers and Society Ensuring Transparency in AI Agent Use

Discover the need for visibility and governance in AI agent operations.

2025-09-15T03:04:24+00:00 ― 7 min read

Distributed, Parallel, and Cluster Computing Efficient Medical Image Processing in Hybrid Clouds

A study on balancing privacy and efficiency in medical image processing.

2025-09-14T21:08:54+00:00 ― 7 min read

Machine Learning Synthetic Health Data: A Solution for Privacy in Stress Monitoring

Creating synthetic data helps researchers study stress while keeping personal information safe.

2025-09-14T15:37:06+00:00 ― 5 min read

Statistics Theory Balancing Data Privacy and Statistical Accuracy

Innovative methods for estimating covariance matrices while protecting personal privacy.

2025-09-14T13:03:20+00:00 ― 5 min read

Computers and Society The Need for AI Auditing: Accountability in Technology

Understanding the importance of AI auditing for fair and responsible technology use.

2025-09-14T11:24:18+00:00 ― 7 min read

Cryptography and Security Balancing Privacy and Data Analysis with Local Differential Privacy

A new algorithm improves data analysis while protecting individual privacy.

2025-09-14T07:58:54+00:00 ― 6 min read

Machine Learning Protecting Privacy in Machine Learning with HHE

Hybrid Homomorphic Encryption offers solutions for privacy in data analysis.

2025-09-14T04:25:36+00:00 ― 6 min read

Machine Learning Advancements in Multimodal Federated Learning

Exploring a new approach to enhance machine learning data privacy.

2025-09-13T19:44:12+00:00 ― 6 min read

Cryptography and Security Understanding the LeftoverLocals Vulnerability in GPUs

New GPU vulnerability raises security concerns for machine learning applications.

2025-09-13T19:04:42+00:00 ― 7 min read

Sound Creating Privacy-Friendly Synthetic Voice Datasets

Researchers are developing synthetic voice data to protect privacy in voice recognition.

2025-09-13T15:05:40+00:00 ― 5 min read

Machine Learning Personalized Differential Privacy for Better Data Protection

A new method improves privacy and accuracy in data-driven models.

2025-09-13T07:05:48+00:00 ― 7 min read

Cryptography and Security Cloud-Based AI: Risks and Protections

This article discusses privacy and security risks in cloud-based AI services.

2025-09-13T02:37:12+00:00 ― 7 min read

Distributed, Parallel, and Cluster Computing Improving Federated Learning Efficiency: Tackling Stragglers

A new approach enhances federated learning by addressing slow clients effectively.

2025-09-13T01:18:12+00:00 ― 8 min read

Machine Learning Multihop Parallel Split Learning: A New Path for Resource-Constrained Devices

A look at how MP-SL aids devices in machine learning while ensuring privacy.

2025-09-13T01:02:24+00:00 ― 7 min read

Machine Learning Improving Data Privacy in Machine Learning Models

This work enhances machine unlearning methods for better data privacy and efficiency.

2025-09-13T00:46:36+00:00 ― 5 min read

Computation and Language Protecting Patient Privacy in Clinical Notes

Addressing privacy concerns with synthetic clinical notes in healthcare research.

2025-09-13T00:38:42+00:00 ― 7 min read

Machine Learning Protecting Privacy in Deep Learning with Double-Dip

Double-Dip combines transfer learning and randomization to guard against membership inference attacks.

2025-09-12T17:16:18+00:00 ― 6 min read

Optimization and Control New Method Boosts Decentralized Optimization Efficiency

iDDGT offers a flexible solution for decentralized optimization challenges.

2025-09-12T14:00:41+00:00 ― 4 min read

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