Latest Articles for Privacy

Discusses the risks of privacy in self-supervised learning and introduces PartCrop.

Explore how to protect data privacy amidst growing AI technology.

This study examines methods for maintaining privacy in language processing tasks.

Synthetic data enables companies to share insights while protecting sensitive information.

Examining the role of privacy and data security in eHealth for HIV care.

Examining federated learning protocols to enhance privacy while improving model accuracy.

Examining the growth of Femtech and the associated privacy concerns.

Exploring privacy risks and solutions in large language models.

New methods aim to protect sensitive data in machine learning without losing performance.

A method to protect data privacy in decentralized learning systems using virtual nodes.

S3PHER empowers patients by enabling secure health data sharing with providers.

This article explores methods to protect privacy while analyzing data effectively.

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

New methods enhance privacy and dropout resilience in decentralized learning.

New algorithms enhance privacy in complex optimization tasks.

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

New dataset offers insights into births while safeguarding personal information.

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

Swarm Learning enhances privacy and security in decentralized machine learning systems.

A new method ensures privacy while allowing efficient resource sharing among agents.

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

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

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

Media organizations create guidelines for responsible AI use in journalism.

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 new method to enhance privacy in digital information retrieval.

AI professionals share their views on Trustworthy AI and its challenges.

A new framework that protects online identities while preserving message clarity.

This article examines how employees view the GDPR and its impact on privacy.

Exploring the impact of smart cameras on privacy and relationships.

Examining how privacy ads shape consumer attitudes and understanding.

New framework helps protect sensitive summary statistics during data sharing.

An overview of how anonymization safeguards personal identity while using biometrics.

WPS can aid location services but threatens user privacy significantly.

A new approach to MAC address randomization improves user privacy on Wi-Fi.

Research shows vulnerabilities in federated learning's approach to text privacy.

A new method enhances prediction accuracy while protecting user privacy in cloud models.

Study focuses on how robots can handle conflicts and communicate effectively with users.

Learn how AltGDmin addresses missing data in a federated setting.