Latest Articles for Data Security

New methods improve download rates and efficiency in secret sharing.

A novel watermarking method enhances model ownership verification without harming performance.

Explore methods to enhance efficiency and security of deep neural networks.

Exploring the role of machine learning in improving quantum communication systems.

Learn how secret sharing protects sensitive information through distributed shares.

A new method to enhance privacy in digital information retrieval.

New method improves neural networks' performance against adversarial attacks.

A novel method that protects medical images in the cloud using advanced quantum techniques.

A new approach to ensure language models handle sensitive data securely.

Addressing reliability, generalizability, and confidentiality in Graph ML.

SPSG improves model stealing efficiency using superpixels and sample gradients.

A look at differential privacy and its application in machine learning.

Exploring the link between separation logic and cryptographic security through independence.

A new method uses reinforcement learning for generating effective adversarial examples.

A method to prevent misuse of text-to-image models while maintaining their lawful applications.

Combining classical and quantum methods for secure satellite communications.

New protocols enhance security in quantum communications against eavesdropping.

New methods improve language model safety while keeping functionality intact.

A new method enhances prediction accuracy while protecting user privacy in cloud models.

Examining the role of AI in agriculture, autonomous systems, and healthcare.

New methods in code-based encryption enhance data protection effectively.

A look at how cardinality sketches estimate unique items and their vulnerabilities.

A study evaluates how quantum and classical models respond to adversarial attacks.

A look into how adversarial examples challenge AI models.

A new method enhances trustworthiness of AI outputs in blockchain environments.

A fresh approach to keeping sensitive graph data safe online.

Advancements in satellite technology fuel a new approach to quantum communication.

Exploring improved methods for secure multiparty communication using quantum key distribution.

A global challenge highlights federated learning for breast density classification.

A new method ensures privacy while gathering useful data from smart devices.

This study investigates how small changes can mislead CNNs in critical tasks.

Analyzing how binary bi-braces improve encryption systems and detect vulnerabilities.

Introducing RobustKD, a method to enhance model safety against backdoor attacks.

Research aims to balance privacy and accuracy in vector mean estimation methods.

Two innovative techniques improve adversarial attacks on tabular data models.

Exploring safety, reliability, and ethical issues in language models.

New approach improves machine learning privacy and resilience against attacks.

This method improves data tracking through advanced watermarking techniques.

Fantastyc enhances federated learning through blockchain for improved privacy and security.

A new framework improves healthcare collaboration while protecting patient privacy.