Latest Articles for Data Security

FernUniversität works on open LLM infrastructure to support education.

A new algorithm enhances data exchange among vehicles while ensuring privacy.

Examining the security of SHA-256 and recent collision finding techniques.

New hybrid methods improve efficiency in integer factorization for cryptography.

A novel approach to ensure privacy while maintaining text utility in NLP models.

Quantum communication offers secure data transmission using quantum mechanics principles.

A framework for formal verification of oblivious algorithms to protect sensitive data.

A method for compressing images while ensuring their security during transmission.

A new system enhances data processing while ensuring user privacy and efficient resource use.

Researchers examine methods to secure sensitive information in text classification models.

Exploring backdoor attacks and graph reduction methods in GNNs.

A look into how quantum mechanics enhances secure information sharing.

This article discusses a new method for protecting confidential data in message-passing applications.

An overview of privacy risks and strategies for responsible AI use.

Examining membership inference attacks on time-series forecasting models in healthcare.

A look into secure communication methods for UAVs amidst rising threats.

Exploring how blockchain can enhance trust and efficiency in clinical trials.

This study examines watermarking methods for machine-generated text and their effectiveness against removal attacks.

Using UAVs for secure communication during emergencies.

A framework for using language models directly on smartphones for secure, personalized services.

Examining vulnerabilities in clinical language models and their impact on patient safety.

Learn how to secure CSV data with digital signatures.

Exploring the importance of security and user feedback in e-payment apps.

Examining the vulnerabilities of lightweight models against adversarial attacks.

New insights into robust classifiers enhance their ability to resist attacks.

A new framework enhances security and efficiency in distributed machine learning.

BoostCom speeds up comparison tasks in FHE, improving efficiency for encrypted data.

This new method improves communication safety through adjustable antennas in wireless networks.

A look at federated learning combining differential privacy and blockchain for data security.

A new framework controls in-context learning to prevent misuse in AI models.

This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.

A practical design to secure LLM applications based on user roles.

A unified TEE design improves CPU and NPU collaboration for secure computing.

Introducing HO-FMN for better evaluation of machine learning model robustness against adversarial attacks.

Exploring the benefits and developments in quantum communication systems using entanglement.

This article discusses the significance of hashing algorithms in blockchain technology.

Examining the vulnerability of neural networks to small input changes.

Research unveils new algorithms enhancing RSA encryption security through better factorization techniques.

A new method aims to secure semi-supervised learning against backdoor threats.

New method enhances adversarial attacks on 3D models using diffusion techniques.