Latest Articles for Data Privacy

A method to secure sensitive data in machine learning using information flow control.

This article discusses data privacy risks and detection methods in federated learning.

A look into the features, benefits, and challenges of Web 3.0.

A new method uses genetic algorithms to create synthetic data while protecting privacy.

A new approach enhances privacy in machine learning while maintaining speed and accuracy.

New methods protect privacy while enabling person identification in city surveillance.

This study evaluates language models for quick power outage detection via social media.

Federated Learning enhances security for IoT devices while protecting user data.

Phoenix model improves generative AI performance while ensuring data privacy.

A look at Federated Learning's benefits and challenges, including the FedVal method.

Learn how federated learning can enhance machine learning while protecting data privacy.

Examining privacy loss in Noisy-SGD with non-convex loss functions.

Learn methods to safeguard PII while using Large Language Models.

New methods improve model performance while ensuring data privacy.

Exploring machine unlearning as a solution for data privacy concerns.

Exploring new methods to improve decentralized learning efficiency while ensuring data privacy.

Research focuses on improving AI summarization in healthcare for clinical dialogues.

A guide to privacy threats in smart vehicles and how to safeguard personal data.

A look at Clip21's role in enhancing differential privacy during model training.

A new method enhances model personalization while ensuring data privacy.

This article examines the privacy concerns tied to diffusion models and proposes solutions.

This article discusses strategies to mitigate privacy risks in machine learning.

Learn how new tools can assess risks in data-sharing practices.

Examining pseudonymization techniques for maintaining privacy in text data.

AGI is reshaping healthcare by improving diagnostics and operational efficiency in medical imaging.

A novel technique checks for training data exposure in diffusion models.

A study reveals methods to protect privacy in MRI data while preserving image quality.

Examining privacy issues in FemTech technologies for women's health.

Introducing an algorithm for private shortest path calculations in low tree-width graphs.

Learn how one-hot maps enhance data privacy in AI and ML.

Exploring methods to count unique items while protecting individual privacy.

Ind-KNN enhances private predictions while safeguarding individual privacy in data-driven applications.

Examining deepfake technology's impact on the metaverse's security and creativity.

A look at how banded matrix factorization protects privacy in machine learning.

This study analyzes developer experiences with Google’s Data Safety Sections.

A look into federated learning’s vulnerabilities and the threat of backdoor attacks.

Explores how negative examples influence AI learning and potential risks.

An overview of ChatGPT's benefits and ethical considerations in software engineering.

A new model improves surgical image analysis while protecting patient privacy.

An overview of federated learning's privacy and fairness challenges.