Latest Articles for Data Security

Understanding the challenges and solutions for protecting privacy in data sharing.

A new method to detect and fix data poisoning in machine learning models.

Hermes improves internet speed and security using innovative proxies.

Exploring how fluid antennas enhance robust and covert communication.

RobustCRF enhances GNN resilience while maintaining performance in real-world applications.

This article examines how adversarial examples can mislead predictive models in business processes.

A look into how Multi-LLM-Agent Systems work and their benefits.

Discover how Crackling-Cloud makes gene editing accessible for all researchers.

A new framework enhances secure computation for Transformers, ensuring privacy and efficiency.

A method to safeguard AI models from harmful data.

Discover how blockchain and LLMs can work together for security and efficiency.

Learn how temperature affects secure communication technology.

RevPRAG helps detect misinformation in language models and ensures accurate information flow.

Innovative methods aim to enhance AI language models while ensuring safety and efficiency.

Learn how attackers manipulate data and disrupt decision making processes.

Learn how machines can forget unnecessary data for better privacy.

Inference Privacy safeguards personal data during digital interactions.

Discover PXoM, the innovative defense against memory corruption attacks.

Explore the vulnerabilities and defenses of multimodal models in today's technology.

Discover the role of rank-metric codes in modern data protection and communication.

Discover how digital forensics aids in crime-solving using advanced tools.

Examining how quantum channels affect the transfer of information.

New methods aim to protect sensitive data while keeping it useful.

Combining CNNs and Transformers enhances face recognition accuracy and performance.

Discover how privacy-preserving methods protect sensitive data in large language models.

Discover how federated learning keeps data private while driving innovation.

Balancing scientific progress with the risks of genetic data misuse.

Discover the challenges of combining SIFT and Fully Homomorphic Encryption.

MOFHEI transforms machine learning for better privacy and efficiency.

Examining feature inversion in deep learning and its implications for privacy.

How smart contracts and blockchain enhance patient data management.

New techniques aim to enhance homomorphic encryption performance with in-memory processing.

A new approach improves security in federated learning by focusing on client-side defenses.

How Amazon's Sidewalk blurs privacy and power dynamics in the digital age.

Learn how BlockDoor secures neural networks against backdoor attacks.

Learn how to protect sensitive information in our digital world.

Language models can unintentionally share sensitive information, raising important concerns.

SLIM encryption offers a shield against quantum threats to digital security.

Learn how Vertical Federated Learning enhances data privacy in collaborative machine learning.

Learn how the Fully Homomorphic Integrity Model protects sensitive healthcare information.