Latest Articles for Data Security

Addressing the challenges of privacy in lawful interception within 5G technology.

Learn how verifiable computation builds trust in sensitive data processing.

A new approach personalizes model training while protecting data privacy.

A new approach to modular reduction boosts performance in cryptography.

New methods boost efficiency in data verification and integrity for various industries.

Examining how IoT can transform manufacturing and the barriers to its adoption.

A new method enhances efficiency in quantum cryptography randomness extraction.

Quantum codes protect information processed by quantum computers from errors and noise.

Learn how auditing systems enhance data security and accountability.

A new architecture protects user data in quantum computing environments.

A new approach to safeguard RAW images from manipulation.

This study explores domain adaptation techniques for deep learning on encrypted data.

Exploring a new hash function leveraging quantum principles for improved data security.

New methods improve federated learning's privacy and defense against attacks.

A new quantum algorithm improves the efficiency of large number factoring.

A new method enables privacy protection in deep learning through polynomial approximations.

A new algorithm streamlines R1CS representation for enhanced ZKP clarity and efficiency.

A look at managing confidentiality and integrity in programming languages.

A new approach improves generative tasks in mobile applications while ensuring user data security.

Discover the innovative HITA design for improving healthcare IoT application testing.

Exploring secure multi-party computation as a solution for privacy in data-driven services.

A new tool streamlines large constant multiplication for improved cryptographic system performance.

Research shows how LLMs can enhance privacy while maintaining language model effectiveness.

New methods improve model training while protecting user data privacy.

This study examines the use of PIM systems to enhance homomorphic encryption performance.

Scientists link entangled particles over 101 kilometers, pushing quantum network boundaries.

Adversarial training improves machine learning models' resistance to input manipulation.

A new method combines TEEs and garbled circuits for better performance in cloud tasks.

A method called HINT protects machine learning from harmful data attacks.

A look into the challenges and solutions of Big Data management.

Testing the strength of NER systems using context-aware adversarial examples.

JCAS merges communication and radar for enhanced mobile network performance.

New framework enhances performance of encrypted data processing using GPUs.

Improving machine learning model security against adversarial attacks through certified robustness.

A method for creating reliable auditable registers in distributed systems.

Research reveals vulnerabilities in machine learning models through targeted uncertainty manipulation.

Research combines language and diffusion models to improve defenses against adversarial attacks.

A new method detects outages while safeguarding user data.

Examining how users navigate privacy concerns with LLM-based conversational agents.

Exploring the potential of quantum technology in enhancing blockchain security and consensus.