Latest Articles for Data Security

This article examines the dangers of harmful fine-tuning in language models.

A new method reveals backdoor attack threats in machine learning without sensitive data access.

This study analyzes the ability of IBM's quantum computers to generate truly random numbers.

Examining the effectiveness and vulnerabilities of watermarking in AI-generated content.

This article examines the impact of underwater conditions on quantum communication systems.

A new method for verifying IoT data using IOTA and TPM technologies.

Learn how to protect your data privacy in cloud computing.

Federated learning improves face recognition while protecting user privacy.

Combining CPABE and OAuth 2.0 for better health data privacy.

This paper discusses adversarial training for robust quantum machine learning classifiers.

This article examines privacy measures in cloud computing and model predictive control.

A new method enhances deep learning model resilience against attacks using peer models.

A look at how blockchain improves healthcare data security and privacy.

Exploring the secure exchange of information through quantum principles.

Exploring how compute providers can ensure AI compliance with regulations.

Introducing a framework to enhance anomaly detection in Federated Learning systems.

New methods for creating MDS and involutory MDS matrices improve data security.

Research reveals effective attack on LWE systems with sparse binary secrets.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

A new method enhances model robustness while maintaining performance on real-world tasks.

A new approach to secure computations on encrypted data.

This research highlights sparse coding's role in safeguarding neural network privacy.

A new framework aims to improve privacy in vehicular edge metaverses.

Bamboo offers a secure way to search encrypted data even after key compromise.

Introducing a secure yet efficient method for managing private data.

A method for generating synthetic data using Bayesian networks to protect privacy while allowing analysis.

A look at cryptographic problems in classical and quantum computing.

Analyzing eavesdropping risks in advanced wireless communication systems.

A framework to improve the safety and reliability of large language models.

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.