Latest Articles for Data Security

New method enhances neural networks against adversarial attacks using set-based inputs.

A new method for improving neural networks' resistance to attacks while maintaining performance.

Learn how interactive coding enhances secure communication between parties.

Generative AI enhances blockchain security, scalability, and privacy.

Exploring challenges and solutions for safeguarding smart grids from data attacks.

Learn about Service Level Agreements and their impact on service quality.

This work enhances machine unlearning methods for better data privacy and efficiency.

Exploring ways to enhance trustworthiness in distributed artificial intelligence technologies.

Exploring how machine unlearning aids in data privacy and compliance.

This article explores challenges faced while adopting IoT in the cold supply chain.

This study explores using response headers to identify online trackers more effectively.

A new framework improves secure computing efficiency while ensuring data privacy.

Learn how harmless perturbations protect privacy in deep learning without affecting DNN functionality.

A new model combines searchable encryption with quantum computation for better data protection.

Exploring a modern approach to secure image sharing through quantum techniques.

A method for voice conversion improving privacy and speech quality.

Understanding how to build more reliable machine learning systems against adversarial threats.

Examining privacy risks and solutions for eye tracking in virtual reality.

An inside look at developing a safe LLM application for internal documents.

Exploring the advantages of qubit communication in modern information transfer.

Exploring how optical fibres can enhance quantum communication technology.

This study reviews vulnerabilities in AI models used for genomic applications.

Introducing FOMO, a method to improve DNNs against adversarial attacks through forgetting.

Exploring the threats posed by indiscriminate data poisoning in self-supervised learning.

This paper examines the use of artificial noise to secure VLC data transmissions.

A new approach for secure anomaly detection in graph data.

New methods enhance privacy and accuracy in secure computing environments.

Learn how quantum randomness enhances data security in technology.

Addressing privacy concerns in systems that manage sensitive data.

Explore how AI improves efficiency across healthcare, maintenance, and agriculture.

A look into improving resource allocation in quantum computing networks.

Exploring the vulnerabilities in zero-knowledge proofs in cryptography.

Secure Scattered Memory protects data content and access patterns effectively.

A new system improves identification accuracy and data privacy for wearable tech.

New methods to safeguard sensitive data against unauthorized access in machine learning.

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.