Latest Articles for Data Privacy

Discover how FedCRL improves machine learning while protecting user privacy.

A new system enhances secure data analysis while maintaining privacy.

A study of user reviews offers insights into contact tracing app effectiveness.

New algorithms enhance privacy in complex optimization tasks.

This article examines new methods for privacy-preserving machine learning.

New metric measures dataset similarity while preserving privacy in Federated Learning.

New dataset offers insights into births while safeguarding personal information.

A look into focused backdoor attacks within federated machine learning systems.

A new method enhances IoT data sharing while ensuring privacy and energy efficiency.

ISO/IEC TS 27560:2023 guides organizations on consent record management.

A new framework enhances learning from pre-trained models without original data.

A new method improves machine learning training efficiency while protecting data privacy.

A system detects and removes tracking scripts from bundled web code.

Learn how Federated Learning enhances data privacy and device trust.

A framework to ensure trustworthy devices in federated learning for urban data privacy.

Examining the risks and governance of Claude, an AI chatbot by Anthropic.

A new framework enhances evaluation of federated learning algorithms across diverse applications.

A new method that balances privacy and text quality in language models.

Analyzing privacy challenges in mission-critical communication within 5G technology frameworks.

This paper discusses combining federated and contrastive learning to enhance data privacy and model performance.

A guide to protecting individual data privacy while enabling data analysis.

Learn how federated learning keeps data private while improving machine learning.

Research tackles privacy concerns in language models through innovative unlearning methods.

Exploring federated learning methods to protect user privacy and enhance model performance.

A new method poses significant risks to privacy in federated learning.

LightTR enhances trajectory recovery using federated learning while protecting user privacy.

Mind-Animator reconstructs videos using brain activity measured by fMRI.

Media organizations create guidelines for responsible AI use in journalism.

Using Generative AI and MoE for improved communication security.

New method improves device selection efficiency in federated learning.

A new method addresses privacy and fairness in regression models using innovative adjustments.

New method protects privacy while allowing language models to learn from examples.

A framework for safer data processing in machine learning.

Inductive GNNs face privacy threats from link stealing attacks.

A new method improving medical data privacy and collaboration between institutions.

This study explores Federated Learning's role in Document Visual Question Answering.

Shadow-free MIAs reveal vulnerabilities in user recommendation systems.

A new approach to enhance client availability in federated learning.

A new framework generates human mobility data while protecting individual privacy.

A new protocol enhances privacy and efficiency in decentralized learning.