Latest Articles for Data Privacy

Using AI to simulate data for analyzing emotional connections in mental health.

Discover how Federated Learning keeps data private while enabling collaboration in IIoT.

This article presents a new method for realistic dialogue systems using user-specific traits.

A new method for adapting deep learning models to unlabeled data while ensuring privacy.

A workshop discussing challenges and solutions for platform workers.

A look at how AI can forget private data during image restoration.

A new method enhances federated learning's security by combating Byzantine attacks effectively.

Exploring Secure Aggregation's role in Federated Learning within healthcare settings.

Assessing large language models' ability to handle privacy regulations.

RoLoRA enhances federated learning with robust fine-tuning and efficient communication.

A fresh approach to improve model accuracy by identifying low-quality data sources.

A method to enhance personalized models while preserving user privacy.

This study examines the creation of realistic chest X-rays through advanced machine learning techniques.

This framework enhances multimedia app efficiency while protecting user privacy.

A look at new approaches to enhance secure programming methods.

Study shows AI tools enhance accuracy and efficiency in redacting sensitive documents.

This article examines how combining real and synthetic images boosts face recognition accuracy and fairness.

LoRD improves efficiency in model extraction attacks on large language models.

New strategies for improved outlier detection are reshaping data analysis methods.

New approach uses federated learning to optimize mobile task offloading decisions.

CoAst offers innovative contribution assessment in federated learning without needing validation data.

Researchers develop a technique to safeguard important words in text data.

A look at differential privacy and its role in protecting individual data while ensuring utility.

A framework to secure image privacy while maintaining model accuracy.

New methods connect metadata to knowledge graphs for better data interpretation.

Researchers assess risks of identifying individuals from shared data to improve privacy.

A study reveals inconsistencies in how Android apps report data collection.

Learn how sampling dates impact our understanding of virus and bacteria spread.

New methods improve machine learning efficiency in mobile environments.

Introducing FedFT, a method to improve communication in Federated Learning.

New methods improve secure computations in neural networks while preserving privacy.

Learn how density ratio estimation measures synthetic data quality effectively.

A look into leveraging distributed learning while ensuring data privacy.

A web app simplifying federated learning for enhanced data privacy and user accessibility.

Methods to improve blockchain security using noise addition techniques.

A new approach enhances digital pathology while ensuring patient privacy.

A new framework combines federated learning and multimodal models to improve privacy and performance.

RC-FED reduces communication costs while maintaining model quality in federated learning.

A new method enhances model performance while ensuring privacy in deep learning.

A new method enhances federated learning by addressing diverse data challenges.