Latest Articles for Privacy

A new method for training models while protecting sensitive data.

A novel method enhances small language models while protecting patient privacy.

Learn about efficient and private methods for estimating entropy in data.

A look into federated learning's impact on privacy and fairness.

This method analyzes medical images while keeping patient identities safe.

WeiAvg enhances federated learning by prioritizing data diversity while safeguarding privacy.

Examining the clash between generative AI and copyright laws.

This study investigates the trade-off between fairness and privacy in language models.

Synthetic images offer new solutions for medical training and patient privacy.

FairDP offers a solution for ensuring privacy and fairness in machine learning systems.

A new framework enhancing speed and privacy in natural language generation.

A study on how diffusion models and GANs generate synthetic medical images.

Assessing privacy risks in deep learning against various attacks.

A framework to develop personalized policies using observational data while ensuring privacy.

Examining the interplay of communication methods and privacy in virtual spaces.

This paper discusses methods to enhance communication efficiency in split learning while preserving model performance.

Examining privacy issues in children's apps and how developers can improve practices.

This article examines privacy models' effects on monitoring CO2 levels in smart buildings.

This review looks into the resilience of unsupervised learning to adversarial attacks.

Examining how government online targeting affects transparency, privacy, and equality.

Study assesses privacy risks of generative models in medical data sharing.

GPT-FL framework improves federated learning by using synthetic data.

A method to remove data from machine learning models while ensuring privacy.

A new method uses genetic algorithms to create synthetic data while protecting privacy.

A new approach enhances privacy in machine learning while maintaining speed and accuracy.

New methods protect privacy while enabling person identification in city surveillance.

A look at Google's Topics API's impact on user privacy and ad targeting.

Examining privacy loss in Noisy-SGD with non-convex loss functions.

Examining pseudonymization techniques for maintaining privacy in text data.

Examining privacy issues in FemTech technologies for women's health.

Introducing an algorithm for private shortest path calculations in low tree-width graphs.

This article discusses the importance of AI ethics for software managers.

An overview of ChatGPT's benefits and ethical considerations in software engineering.

An overview of federated learning's privacy and fairness challenges.

This article discusses the importance of datasheets for machine learning sensors.

A new method protects individual privacy in sharing mobility data during crises.

HePCo enhances continual federated learning, prioritizing privacy and efficiency.

Learn how cuckoo hashing enhances data storage and privacy in cryptographic applications.

RQM enhances privacy in federated learning while maintaining model efficiency.

Neuromorphic cameras offer advanced imaging but raise privacy concerns.