Latest Articles for Data Privacy

This article discusses a method for introducing backdoors into neural networks during training.

New methods detect and respond to memorization in AI-generated content.

Exploring principles for ethical relationships between people and their data.

A new method addresses privacy challenges in estimating U-statistics accurately.

A new method for privacy-preserving density estimation using stable list decoding.

A new method improves learning efficiency while preserving knowledge in federated learning systems.

Zero-knowledge proofs enhance privacy and security in modern digital transactions.

New methods tackle issues of copying in image generation models.

This article discusses methods to hide authorship while ensuring text usability.

AAG improves privacy and accuracy in spatial data handling.

DP-BloGS improves data privacy in machine learning while maintaining performance.

Examining the impact and risks of large language models on society.

This paper examines the effectiveness of current machine unlearning verification methods.

A new method enhances fraud detection while ensuring data privacy.

A new algorithm improves privacy and efficiency in federated learning using second-order methods.

FL-E2WS optimizes federated learning in wireless networks while ensuring data privacy.

New method improves matching hand-drawn sketches with mugshot images using synthetic data.

New method enhances privacy for vision transformers in machine learning.

Analyzing urban mobility data raises critical privacy concerns for researchers.

A new dataset supports better tools for detecting identity document fraud.

Safety features in AI systems are vital for responsible use and ethics.

A framework for generating synthetic clinical notes in healthcare.

Exploring the intersection of data privacy and continuous learning methods.

A novel approach to federated learning that enhances privacy and efficiency.

Quantum private queries aim to ensure user privacy while retrieving data securely.

A new method improves safeguarding against attacks in federated learning systems.

This study examines the capability of open-source LLMs in producing commit messages.

FedLog enhances federated learning with efficient communication and data privacy.

A new algorithm improves data sharing and machine learning efficiency using synthetic datasets.

This paper examines the synergy between Federated Learning and control applications.

Examining vulnerabilities and defenses in diffusion models for safe content generation.

Learn how federated learning improves farming decisions through data privacy and collaboration.

AdapTable improves model predictions amid changing table data without retraining.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

Using smart meter data and weather info for improved energy monitoring.

A new framework enhances federated learning by addressing noisy data issues.

FADAS improves federated learning by allowing asynchronous client updates while maintaining data privacy.

Exploring machine unlearning in information retrieval to enhance data privacy.

A new method reshapes privacy auditing in machine learning.

A system that predicts taxi demand while protecting passenger data.