Latest Articles for Data Security

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.

A novel approach for proving ownership of language models.

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.