Latest Articles for Cybersecurity

Combining simulation and event analysis for software validation.

MORPH adapts malware detection systems to evolving threats with less manual input.

This article discusses the role of SATD in software security.

Explore SCORPION, a dynamic Cyber Range for cybersecurity training and skill development.

A system to automate monitoring of illicit activities on the dark web.

A new modular approach improves efficiency and accuracy in identifying cyber attackers.

Exploring the risks of supply chain attacks in updated power infrastructure.

Learn how Universal Composability and other theories enhance cryptographic security.

Hybrid Homomorphic Encryption offers solutions for privacy in data analysis.

Studying adversarial impacts on automated stock trading agents in competitive markets.

TransTroj enhances backdoor attacks, improving effectiveness and resistance to detection.

This article addresses the risks and challenges posed by Large Language Models.

New GPU vulnerability raises security concerns for machine learning applications.

Exploring challenges and solutions for safeguarding smart grids from data attacks.

Instiller improves CPU fuzz testing with efficient techniques and better bug detection.

MobFuzz enhances fuzz testing with multi-objective optimization for better software security.

Exploring the role of LLMs in enhancing cybersecurity and their potential misuse.

Post-Quantum Cryptography is crucial for securing future IoT devices.

Examining security threats in machine learning-enabled medical devices and their impact on patient safety.

This work examines how LLMs enhance vulnerability detection in Java code.

A new method to improve Android malware detection using active learning.

Study reveals risks of multilingual jailbreak attacks on large language models.

This study emphasizes the importance of reliable datasets for network traffic anomaly detection.

This paper examines prompt injections and their implications for AI models.

This article discusses privacy and security risks in cloud-based AI services.

Learn how remote attestation ensures system trust and prevents evidence tampering.

Examining the risks of backdoor attacks on speaker verification systems.

GuardFS offers proactive defense against ransomware attacks, minimizing data loss effectively.

Double-Dip combines transfer learning and randomization to guard against membership inference attacks.

A look at deception online and how to detect it effectively.

Explores how LLMs can improve bot detection while addressing associated risks.

Examining security issues and solutions in cloud-based Internet of Things systems.

HQA-Attack creates high-quality adversarial examples in text while preserving meaning.

An exploration of the challenges and strategies for improving software security.

This study investigates jailbreaking attacks on multimodal large language models.

Examining how deep learning enhances side channel attacks on devices.

Understanding the security risks of touchscreen devices from IEMI attacks.

Data poisoning threatens the integrity of in-context learning systems, revealing hidden vulnerabilities.

A new quantum key agreement protocol enhances security and efficiency in multi-party communication.

Improving machine learning reliability through advanced OOD detection methods.