Latest Articles for Data Security

New methods for detecting unusual activities in videos while ensuring privacy.

Understanding the impact of adversarial attacks on machine learning models.

Explore the role of bent and negabent functions in secure data transmission.

Examining the challenges of privacy in face recognition technology.

A new system improves location verification for citizen reports during crises.

A new method enhances FHE performance while maintaining accuracy in data analysis.

A new method improves privacy and performance in federated machine learning.

Learn how sharding improves database performance and efficiency.

Assessing how data poisoning affects policy evaluation methods.

NetKAT simplifies network rule creation and verification for efficient management.

A new tool aims to remove hidden data from STL files in 3D printing.

A system enhances privacy in data sharing for machine vision applications.

Language Models are changing technology by taking on more complex tasks.

EncDB offers improved security and efficiency for managing encrypted data in the cloud.

A new method enhances data security for IoT devices while preserving privacy.

Exploring the security challenges and advancements in URLLC technology.

New methods aim to protect sensitive data in machine learning without losing performance.

Research focuses on sponge hashing's security against quantum computing threats.

Examining the role of wireless technology and blockchain in enhancing the Metaverse experience.

Study reveals data poisoning risks in healthcare language models.

3DGen uses AI to turn informal data descriptions into secure code.

A new method to fine-tune models while ensuring data privacy.

A look at how quantum and cloud computing connect for future innovations.

A framework offers improved verification for data accuracy in self-driving cars.

A method to optimize models while keeping their architecture confidential.

This study enhances federated learning by boosting model diversity while protecting privacy.

A new method enhances security in federated learning through intermediate outputs analysis.

Innovative approaches to enhance DRAM performance and security against RowHammer vulnerabilities.

Combining quantum computing and federated learning for enhanced data privacy.

Analyzing the risks and defenses against poisoning attacks in online recommendations.

Learn about HTAP databases and their role in real-time data processing.

A method to increase classifier reliability against data manipulation.

Discover how RIS technology is improving security in wireless communication.

This article examines new methods for privacy-preserving machine learning.

LLMs offer new insights into automated malware deobfuscation.

AutoNet automates cloud network policies, reducing errors and enhancing efficiency.

Learn how to hide sensitive data in PDF files effectively.

Swarm Learning enhances privacy and security in decentralized machine learning systems.

Federated learning faces new poisoning attacks, threatening safety in self-driving technology.

New algorithms improve efficiency in homomorphic encryption matrix operations.