Latest Articles for Privacy

A new method enhances device monitoring while safeguarding user privacy.

A deep look into the effectiveness and evaluation of biometric data anonymization methods.

Innovative protocols for identifying harmful content while ensuring user privacy.

This study presents methods to recover shuffled data labels effectively.

USR-LSH offers quick data handling while ensuring user privacy.

A new protocol enhances privacy and efficiency in federated learning.

Synthetic data offers solutions for privacy, fairness, and data limitations in machine learning.

Effective placement of sensors in buildings protects privacy while collecting useful data.

Examining fairness in privacy methods for location data use.

APES and S-APES improve privacy in federated learning while maintaining accuracy.

SF-Relate enhances genomic studies by identifying relatives securely and efficiently.

New method enhances driver behavior monitoring while protecting privacy.

Focusing on robust algorithms to tackle adversarial inputs in data environments.

Balancing data sharing benefits with personal privacy protection methods.

STARie uses AI to help children improve storytelling skills through interactive conversations.

DPAF offers high-quality synthetic images while ensuring strong privacy protections.

Strategies to protect user privacy while optimizing communication in data analytics.

Exploring the balance between open data access and personal privacy risks.

Analyzing dataset use in voice biometrics reveals significant bias and privacy concerns.

A new approach to secure data analysis in businesses.

Exploring methods for organizations to share sensitive data while protecting privacy.

Exploring privacy risks in self-supervised learning due to unintended memorization.

Advertisers shift to cohort-based identity to protect privacy while personalizing ads.

A new method enhances models using user feedback while protecting privacy.

A novel approach to secure Vickrey auctions prioritizing privacy and fairness.

This article examines the importance and challenges of transparency in technology systems.

Exploring how population protocols can protect sensitive data among connected devices.

Research highlights different interactions with security technologies between men and women.

Improving radiology reports through data retrieval and text generation methods.

This study examines privacy, robustness, and fairness in dataset distillation methods.

Reconstruction methods raise privacy issues in machine learning, prompting a need for stronger protections.

This article examines privacy concerns in language models and proposes methods to address them.

Synthetic data helps protect patient privacy while enabling research.

Examining factors influencing the use of mobile health applications across various demographics.

FedAds offers a solution for effective CVR estimation while safeguarding user privacy.

Trustchain offers a safer way to manage digital identities and credentials.

Explore how vertical federated learning boosts privacy in machine learning.

Survey reveals evolving views on wastewater monitoring's role in public health.

PrivaScissors minimizes data leakage in collaborative inference, enhancing user privacy.

This article explores the ethical issues and guidelines for using ChatGPT responsibly.