Latest Articles for Cybersecurity

A model predicts cyber attack vulnerability based on social and economic factors.

Learn about key vulnerabilities in smart contracts and how to protect against them.

Learn about the threats and strategies related to cloud resource hijacking.

A method for finding Nash equilibria in complex decision-making scenarios.

Exploring the intersection of blockchain and federated learning for data privacy and security.

Assembly programming meets competition as survivors battle in CodeGuru Xtreme.

Diverse samples enhance the effectiveness of machine learning model theft.

A look at innovative methods in cybersecurity using cyber deception.

A new approach to enhance recommendations while keeping user data private.

Hacktivism poses serious risks to satellite security in today's digital landscape.

A study reveals vulnerabilities in popular password management software.

A study on how Large Language Models can improve vulnerability detection in software.

Explores the privacy risks and defenses related to synthetic data created by GANs.

Exploring how IRL enhances network performance through expert behavior learning.

Recent findings reveal vulnerabilities in wireless charging that can lead to device damage.

Explore hybrid QKD methods for secure key sharing between parties.

Learn how LLMs can help make C programming safer and more efficient.

Research reveals significant security risks in chat models from backdoor attacks.

Research highlights vulnerabilities of MNMT systems to backdoor attacks.

A new approach to protect language models from harmful data triggers.

Crescendo attack uses friendly conversation to manipulate AI models into harmful outputs.

New framework improves anomaly detection through automated data alteration tuning.

This article explores how users perceive adversarial phishing sites and ways to improve detection.

This article examines how adversarial attacks compromise text classification models.

A new architecture to protect power electronic systems from cyber threats.

Discusses the risks of privacy in self-supervised learning and introduces PartCrop.

Examining the security implications of AI-generated code using security APIs.

A framework using agents empowers users to manage IoT security and privacy preferences.

Examining how machine unlearning can expose sensitive data.

This article discusses the importance of sandboxing for protecting small satellites.

A groundbreaking approach to exploiting language models through adversarial text generation.

Exploring effective methods to identify deepfake images using Generative AI.

A look into resource semantics and its applications in modeling systems.

Examining the role of virtual labs in engaging students in cybersecurity courses.

Automating chart creation in honeyfiles enhances cybersecurity measures against cyber threats.

Developing resilient control systems is key to protecting critical infrastructures.

Examining a new method to exploit language models' weaknesses using low-resource languages.

Exploring the security challenges posed by self-supervised learning and no-label backdoor attacks.

A study on the clarity and acceptance of Attack-Defense Trees among users.

Analyzing threats and defenses in federated learning against malicious attacks.