Latest Articles for Cybersecurity

A new method reveals backdoor attack threats in machine learning without sensitive data access.

A new method helps identify hidden vulnerabilities in biometric models.

A new approach enhances detection of subtle cyber threats using advanced data methods.

A new system to identify phishing emails with high accuracy and clear reasoning.

Examining adversarial training for stronger machine learning models against attacks.

Ruledger provides a secure solution for smart home system vulnerabilities.

Examining how large language models can improve digital forensic investigations.

AutoRobust uses reinforcement learning to strengthen malware detection systems against adversarial tactics.

Learn how agents coordinate effectively in networks to achieve common goals.

Enhancing biotechnology safety through machine learning security operations.

BasedAI uses encryption to ensure privacy while enhancing language model performance.

Exploring transfer learning applications to improve cybersecurity functions and address data challenges.

A look into PUFs and their role in IoT security.

This article explores attacks on LLMs and strategies for better protection.

Examining privacy dangers in Federated Learning and large language models.

Exploring the challenges and implications of misconfiguration in O-RAN systems for future networks.

Exploring the intersection of encryption and technological advancements in cybersecurity.

A new method to label unknown IoT devices using network activity analysis.

This article examines how cyber risk affects company valuations and stock returns.

Examining risks and defenses in Quantum Key Distribution networks for secure communications.

A comprehensive approach to protect data privacy while maintaining model utility.

This paper discusses hidden communication risks in software-defined networks.

Exploring network isolation and new virtual switch designs for secure cloud environments.

Industrial systems face risks; IIDSs aim to improve cybersecurity but face deployment challenges.

This article examines the financial impact of cyber incidents on companies.

A new method for verifying complex program properties to enhance security.

TTPXHunter enhances threat intelligence by automating the extraction of TTPs from reports.

A new benchmark aims to measure and mitigate AI-related dangers.

Learn how label flipping attacks threaten URL safety and the new defense strategies.

A look into the risks of data poisoning in federated learning systems.

ImgTrojan manipulates VLMs using deceptive training data.

A new model efficiently targets nodes in GNNs with minimal changes.

An analysis of investment performance in cybersecurity ventures from 2010 to 2022.

New methods enhance DNN robustness against adversarial attacks by considering example vulnerabilities.

A new method improves the safety of RL agents from adversarial disruptions.

Investigating techniques to enhance security in BusyBox used in IoT devices.

A new automated method helps developers create security test cases for RESTful APIs.

A look at the importance of cybersecurity in electric vehicle charging infrastructure.

Exploring privacy-preserving techniques in machine learning and their significance.

Quantum computing could transform many fields while posing significant risks to cybersecurity.