Latest Articles for Data Privacy

Memory encryption offers a new way to keep cloud data safe and efficient.

Training DNNs on microcontrollers boosts efficiency and privacy in smart technology.

A novel approach uses quantum states to compare private information securely.

NeighborFL enhances traffic prediction accuracy while protecting data privacy.

Examining the significance of privacy through identity unlearning in machine learning.

A new method improves the efficiency of machine unlearning while preserving model performance.

A closer look at new methods for text anonymization and their benefits.

A method to improve machine learning while ensuring data privacy.

Collaboration in healthcare through federated learning improves medical image classification while protecting privacy.

PSVAE offers a faster method for creating high-quality synthetic tabular data.

A framework for assessing Federated Learning models in real-world scenarios.

A new method improves the prediction of hospital stay lengths while protecting patient privacy.

A new approach enhances model training while protecting data privacy.

A study on network traffic characteristics of medical devices for better security.

Examining differential privacy and NTK regression to protect user data in AI.

A look at how open-source models measure up against commercial counterparts in biomedical tasks.

A closer look at disclosure risks in synthetic data and privacy protection.

Sri Lanka enacts privacy law to protect patient data in health apps.

FedDM enhances federated learning for diffusion models while ensuring data privacy.

Exploring differential privacy to protect sensitive information in AI applications.

A new approach aims to protect user privacy while improving result accuracy.

Federated learning enhances machine learning while ensuring data privacy in industrial settings.

A new method improves dataset distillation, enhancing model training efficiency.

A new method improves medical imaging while securing patient data.

Examining the role of robustness in estimating unknown distributions from samples.

A study on improving software through user reviews and ethical insights.

A new method enhances security for smart grids while maintaining user privacy.

Exploring risks and defense strategies for large language models.

CCNet enhances model performance on new data while preserving user privacy.

PUFFLE offers a solution for privacy, utility, and fairness challenges in machine learning.

A framework enabling data owners to check unauthorized use of their data in ML.

A study introduces SeqMIA to improve privacy against membership inference attacks.

A new approach to improve medical image classification while preserving patient privacy.

New architecture enhances video analysis on small devices using multiple frames.

A study on improving wireless communication through advanced tracking and prediction methods.

This study reveals new methods for reconstructing training data from high-resolution images.

This article evaluates web agents' effectiveness in managing complex online tasks.

A new system enhances security for vehicles in the 6G era.

Examining the advantages and dangers of AI in our daily mobile technology.

This article explores Knowledge Recycling for improving synthetic data training in classifiers.