Latest Articles for Privacy

Research aims to balance privacy and accuracy in vector mean estimation methods.

Exploring safety, reliability, and ethical issues in language models.

BISON offers a way to log in securely while protecting user identities.

Fantastyc enhances federated learning through blockchain for improved privacy and security.

New attack method raises concerns about privacy in document understanding models.

A new framework improves recommendations while protecting user privacy.

New algorithms improve privacy and accuracy in geometric median calculations.

New methods improve image datasets while ensuring privacy and performance.

Examining how algorithms can protect privacy while optimizing decisions in personalized medicine.

Examining attitudes towards donating health data after passing away.

Exploring privacy threats in image processing using diffusion models and leaked gradients.

A new method enhances recommendation systems while protecting user privacy.

Recommender systems influence user experiences but face key concerns regarding fairness and privacy.

WavRx analyzes speech for health while protecting privacy, showing promising diagnostic results.

This article explores strategies for protecting individual privacy in machine learning.

A new method reduces privacy risks in retrieval-augmented generation applications.

A new method tracks energy use to monitor older adults discreetly.

This work enhances privacy in graph diffusion while maintaining data utility.

Crepe empowers researchers to collect mobile screen data easily.

FacePsy analyzes facial cues to assist in recognizing depression.

AUTOPRIV simplifies data privacy for users without technical skills.

Learn about cryptography's role in securing information and protecting privacy.

New method promises efficient data erasure while preserving model performance.

Improving speaker anonymization technology for nine languages to ensure privacy.

A new algorithm enhances data exchange among vehicles while ensuring privacy.

A novel approach combines voice analysis with privacy protection for dementia detection.

A new system enhances data processing while ensuring user privacy and efficient resource use.

This article explores the benefits of using FP8 in federated learning.

Exploring methods to protect privacy while sharing network data effectively.

This study examines privacy issues and protection methods for AI classifiers.

A toolkit enhances privacy in text generation with on-device retrieval.

A new framework improves federated learning while ensuring data privacy.

Study reveals privacy concerns affecting census participation in subsidized housing.

A new approach enhances Federated Learning by generating synthetic data while protecting privacy.

Exploring the importance of data security in immersive art installations.

Exploring the importance of security and user feedback in e-payment apps.

Analyzing vulnerabilities in LLMs due to human preference data.

A new framework for agent communication focusing on privacy and consistency.

Exploring challenges and advancements in protecting sensitive data while maintaining its usefulness.

A new framework evaluates methods for anonymizing biometric data to enhance privacy.