Latest Articles for Privacy

New methods aim to improve safety and privacy in V2X communication.

Explore the Node Injection Link Stealing attack and privacy concerns in GNNs.

A look at the benefits and risks of ChatGPT in various fields.

Addressing privacy challenges faced by marginalized groups in online environments.

Federated Learning enhances statistical accuracy while protecting individual privacy in data collection.

Exploring privacy issues in fine-tuning AI models like GPT-3.

FPGAs improve the efficiency and safety of Federated Learning processes.

CDMs help protect sensitive training data while generating high-quality images.

Examining user privacy and peer surveillance in identity-based online communities.

How information about fellow travelers can improve shared automated vehicle experiences.

Examining the use of link decorations in online tracking.

AIGC redefines how we generate digital content efficiently.

Analyzing how step count data can expose personal information and privacy risks.

Study reveals how chatbots recall conversations affects user engagement and privacy.

This research focuses on improving efficiency and privacy in federated learning through adaptive compression methods.

Explore the unseen challenges and benefits of using search engines today.

New methods aim to hide speaker identities while maintaining speech clarity.

A method to find averages from varied user data without compromising privacy.

Research explores balance in multilingual language models for fairness and privacy.

SplitWiper improves unlearning in machine learning, ensuring data privacy and efficiency.

Examining risks of re-identification in anonymized court rulings using language models.

Exploring split learning's benefits for secure healthcare model training.

New method improves privacy while enabling better use of healthcare data.

Examining the privacy threats posed by data collection in smart vehicles.

A new method minimizes bias while maintaining privacy in machine learning.

This article examines the risks of revealing individual votes in elections.

FAM enhances AI model training while maintaining patient data privacy.

Protecting primary users' locations while ensuring communication efficiency for secondary users.

Examining privacy risks in federated learning and the need for improved defenses.

Exploring the importance and challenges of pseudonymization in research data sharing.

A look at combining split learning and encryption for better data privacy.

This study looks into the relationship between mobile money users and agents.

Learn how federated analysis keeps medical data secure while offering insights.

Addressing privacy threats during digital twin migrations in smart transportation.

FCCA improves model accuracy while ensuring user privacy in federated learning.

A new method enhances privacy for images collected by fisheye cameras in self-driving cars.

New methods improve federated learning efficiency while ensuring data privacy.

A tool to help developers meet voice application guidelines.

UFed-GAN allows learning from data while maintaining privacy and minimizing computing demands.

Improving matrix computations by tackling stragglers and enhancing privacy.