Latest Articles for Privacy

Evaluating ethical concerns and public safety in face recognition technology use.

A framework to assess data synthesis methods for quality and privacy.

This article discusses the issues related to medical imaging datasets on public platforms.

A method for conducting Bayesian tests while safeguarding individual privacy.

A new method enhances LLMs by integrating external knowledge for better performance.

Examining privacy risks and solutions for eye tracking in virtual reality.

A new approach improves privacy for sharing multi-attribute data efficiently.

New scaled tools improve menstrual health assessments for adolescent girls.

Examining the benefits and risks of modern sensor technology.

Exploring privacy risks in advanced wireless communication networks by 2030.

Study assesses usability of brainwave and eye movement authentication systems.

Exploring differential privacy methods in reinforcement learning to protect sensitive data.

Discussing privacy and fairness in machine learning through differential privacy and worst-group risk.

A new method combines federated learning and secure computation to protect gaze data privacy.

Examining federated unlearning and its challenges in machine learning privacy.

Exploring methods for secure information sharing in group discussions.

A look at the impact and reporting of National Security Letters in the U.S.

Learn how to protect your data privacy in cloud computing.

A new framework enhances privacy in AI-generated images while ensuring efficiency.

6G networks aim to reshape connectivity and data management through Federated Analytics.

Insights into parental concerns about children's VR safety and privacy.

Exploring the principles and importance of ethical AI use.

This article examines privacy measures in cloud computing and model predictive control.

Exploring the balance between model compression and trustworthiness in AI.

LLMs are set to improve privacy and functionality on mobile devices.

Exploring methods to enhance privacy in decentralized learning while maintaining performance.

A new method hides sensitive details in action recognition videos.

MinusFace offers enhanced privacy while maintaining face recognition accuracy.

Examining the ethical concerns of Large Language Models in medicine.

A new method protects personal preferences while allowing useful rankings.

mmDiff improves human pose estimation accuracy using innovative radar technology.

A method for generating synthetic data using Bayesian networks to protect privacy while allowing analysis.

A fresh approach to enhance privacy in IoT through hardware design.

Explore STochastic Gradient Langevin Unlearning for data privacy in machine learning.

Synthetic data offers promise for improving research on adolescent cancer patients.

An analysis of the API's effectiveness in balancing user privacy and advertising needs.

WhatsApp Explorer helps researchers ethically collect data while ensuring user privacy.

A new approach to enhance recommendations while keeping user data private.

Examining privacy concerns and solutions for Large Language Models in text data.

New methods for detecting unusual activities in videos while ensuring privacy.