Latest Articles for Data Privacy

This paper presents a method to improve communication in federated learning.

This article explores k-anonymity and its impact on network privacy.

A new method enhances models using user feedback while protecting privacy.

A strategy for selecting hospitals enhances predictive models in healthcare.

FedGrad provides a defense mechanism for federated learning, countering backdoor attacks effectively.

New framework optimizes federated learning for privacy, utility, and cost.

Exploring new trends and challenges in machine translation using LLMs.

A new method allows better data sharing while protecting privacy in healthcare.

New method enhances Intel SGX efficiency and reduces performance issues.

Federated Classifier Anchoring improves medical image classification amidst data challenges.

A new framework improves medical image analysis while preserving patient privacy.

A new framework to reduce sensitive data memorization in large language models.

New method enhances medical imaging using both labeled and unlabeled data.

Local differential privacy protects individual identities while still allowing data analysis.

New method preserves emotions while anonymizing faces for better privacy protection.

Exploring how population protocols can protect sensitive data among connected devices.

Discover how Homomorphic Encryption protects sensitive data in Neural Networks.

Addressing privacy and data valuation in training machine learning models.

Research looks at anonymizing speech while retaining emotional content.

A new method for learning from decentralized data while preserving privacy.

A new method enhances language model accuracy on personal devices.

Protecting personal information while analyzing dynamic data is essential.

An overview of Bayesian computation's growth and its integration with machine learning.

A look at automating personal data access requests for better user experiences.

Reconstruction methods raise privacy issues in machine learning, prompting a need for stronger protections.

Learn how dFIL improves privacy in instance encoding for sensitive data.

Data protection officers face key challenges in managing knowledge for compliance.

Researchers find the right communication balance crucial for model performance in FL.

AI models show promise in automating clinical note creation from doctor-patient conversations.

New framework enhances language model performance with targeted knowledge access.

A new approach to secure data management using personal blockchains.

This article examines privacy concerns in language models and proposes methods to address them.

FedPDD improves recommendation systems while protecting user data privacy.

Synthetic data helps protect patient privacy while enabling research.

A new method ensures user privacy in retrieval systems through synthetic query generation.

Examining the role of quantum cryptography in secure data deletion.

A method for estimating averages while respecting individual privacy needs.

Research reveals new methods for hiding triggers in deep learning systems.

Introducing low-pass attack techniques to bypass neural network defenses.

A new framework helps developers create clear privacy statements for apps.