Latest Articles for Data Security

Multicore fibres enhance quantum communication by transmitting signals with low interference.

An overview of how quantum information is transmitted and manipulated.

KiOP offers a seamless way to share knowledge from multiple models.

A study on the resilience of Graph Transformers against adversarial attacks.

Study shows Medicaid expansion may enhance consumer protection against fraud and identity theft.

Study reveals surprising risks of sharing sensitive data with chatbots.

A new method enhances security in recommender systems through effective watermarking.

Introducing a distributed key-value store to enhance data security in cloud environments.

Enhancing energy management in wireless networks for secure communication.

Introducing SPLITZ, a method for improving AI model stability against adversarial examples.

A new approach aims to protect user privacy while improving result accuracy.

This article explores the significance of quaternary additive codes in error correction.

A look into Federated Learning and its role in protecting user data.

A look into randomized smoothing as a defense for machine learning models.

Exploring how organizations adapt to large language models.

SNNGX offers new security solutions for Spiking Neural Networks in various applications.

New code types enhance information transmission and security in networks.

LightPHE makes it easier to protect sensitive data using homomorphic encryption.

New method enhances synthetic data generation while ensuring privacy protection.

Exploring how blockchain can improve the safety of large language models.

FedTime combines federated learning and local data for improved forecasting while ensuring data privacy.

BackdoorBench offers a unified approach to assess backdoor learning methods in deep neural networks.

A look at the weaknesses in LLMs and strategies for improvement.

A new method for protecting medical data using blockchain and self-sovereign identity.

Examining privacy concerns with task-oriented communication in the upcoming 6G technology.

Innovative techniques protect sensitive speech data while maintaining processing accuracy.

A new method enhances privacy for facial images while retaining quality.

Research improves methods for analyzing lightweight ciphers like Simon and Simeck.

Examining the risks and strategies of model hijacking in federated learning systems.

New methods improve the analysis of code-based cryptography, enhancing security.

A look into prompt leakage risks in large language models and prevention methods.

Examining how AI assistants can respect user privacy while handling tasks.

Larger language models show increased vulnerability to harmful data behaviors.

Discover the potential of Kramers-Kronig detection in secure quantum communication.

Learn how QR codes work and the role of error correction.

New methods improve deep learning models' resistance to adversarial changes.

New methods reduce identity leakage in face recognition while ensuring data privacy.

RAG systems improve operations but introduce serious security vulnerabilities.

Integrating quantum computing and randomized smoothing improves machine learning model security against attacks.

Investigating the effects of PMD on secure data transfer methods.