Latest Articles for Cybersecurity

This article reviews the weaknesses of multimodal models against various attack types.

Exploring the impact of biases on cybersecurity investments and defender strategies.

Exploring automated methods for identifying software vulnerabilities and their reliability.

Exploring how blockchain can improve the safety of large language models.

Exploring Quantum Local Differential Privacy to safeguard quantum data.

Exploring the threats posed by adversarial attacks in medical imaging.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

CSLS focuses on code structure for better vulnerability detection.

Active Directory attacks pose serious risks. Learn how to detect and respond.

A new tool improves detection of advanced persistent threats in cybersecurity.

This study examines privacy differences between decentralized and centralized federated learning.

MALT improves adversarial attack efficiency and success in image classification models.

This article reviews methods to protect image quality systems from adversarial attacks.

A review of machine learning methods for detecting vulnerabilities in Ethereum smart contracts.

A framework enhances security in connected vehicles while protecting user privacy.

This study examines the effectiveness of clean-label physical backdoor attacks in deep neural networks.

Explore recent improvements in regex functionality and performance.

Learn how program verification ensures software reliability in critical industries.

A new method ensures secure name matching while protecting sensitive data.

Examining the challenges and advancements in cryptography due to quantum computing.

This article discusses a method for introducing backdoors into neural networks during training.

Examining the threats posed by autonomous language model agents and their weaknesses.

A new method for privacy-preserving density estimation using stable list decoding.

Learn how anomaly detection enhances safety in healthcare IoT systems.

A new method enhances the protection of IC designs through efficient watermarking.

A look at the weaknesses in LLMs and strategies for improvement.

This study categorizes vulnerabilities in microservices to improve security measures.

A new method aims to boost power grid reliability with advanced forecasting and local markets.

This paper examines the effectiveness of current machine unlearning verification methods.

Harmful subtitle files can compromise user devices through popular media players.

This study reviews ChatGPT's usability in enhancing software security practices.

A new method enhances fraud detection while ensuring data privacy.

Assessing the cybersecurity risks posed by large language models.

Research reveals challenges and new methods for improving device privacy.

This article discusses how SDN improves IoT security amidst rising threats.

Examining how emotional cues can hijack speaker identification technology.

Examining vulnerabilities in vision transformers and downstream models through transfer attacks.

Safety features in AI systems are vital for responsible use and ethics.

A method to evaluate trust in ultra-wideband localization technology.

Improving threat detection by using LLMs to analyze endpoint activity.