Latest Articles for Data Privacy

Explore how Bayesian Federated Learning combines privacy and fairness in data sharing.

Introducing Matrix, a method that improves document processing using LLMs.

Exploring how Membership Inference Attacks reveal sensitive data risks in AI models.

CEFGL offers privacy-preserving data learning for multiple clients.

Discover how Magnifier transforms mobile device network tracking effortlessly.

TETRIS enables secure data analysis while maintaining personal privacy.

C-FedRAG empowers secure data sharing while ensuring confidentiality across organizations.

AI technology enhances patient monitoring in hospitals, improving care and safety.

A look at synthetic data and its role in privacy.

Learn how INTACT protects personal information while maintaining text clarity.

A blend of federated learning and fuzzy cognitive maps enhances data privacy and collaboration.

Discover the risks of Membership Inference Attacks in decentralized learning.

Navigating privacy and recommendations through unlearning techniques.

Learn how privacy-preserving cloud services keep your information safe.

Learn how ClustEm4Ano helps keep personal data safe and anonymous.

Learn how devices collaborate without sharing personal data.

Learn how Split-Federated Learning improves data privacy and efficiency.

FedPIA enhances machine learning while safeguarding sensitive data privacy.

Learn how fingerprinting codes and algorithms protect your personal data.

Explore how differential privacy aids decision-making while protecting individual data.

A fresh approach to federated learning that balances privacy and efficiency.

Learn how researchers protect privacy while sharing valuable data.

Discover how FedSSI improves machine learning without forgetting past knowledge.

Learn how Few-Shot Class-Incremental Learning shapes healthcare innovation.

Navigating the intersection of privacy and user-friendly data access.

A novel framework enhances IoT security using AI and homomorphic encryption.

Learn how Split Federated Learning keeps data safe while training smart models.

Learn about DualGFL's impact on data privacy and efficiency.

Federated Learning enables model training while keeping user data private and secure.

Discover how FLAMe enhances fall detection in smart cities while ensuring privacy.

Learn how machines can recognize personal items with fewer images.

Discover the cybersecurity challenges faced by autonomous vehicles and their solutions.

New methods protect personal data while enabling insightful analysis.

Learn how Deep-JSCC keeps your images safe while sharing.

Learn how PoisonCatcher protects IIoT data from harmful intrusions.

Simplifying Differential Privacy for better understanding and usage.

A new method ensures data privacy while fine-tuning AI models.

Learn how 'Privacy as Code' transforms software development for better security.

Learn how to balance data privacy and machine learning insights.

Discover how synthetic tabular data safeguards privacy while enhancing data usage.