Latest Articles for Cybersecurity

A look at threats posed by LLMs and strategies for defense.

A new framework improves the detection of altered digital images through advanced techniques.

Exploring methods to enhance privacy in decentralized learning while maintaining performance.

Discovering new methods to secure quantum key distribution against real-world challenges.

Foundation models like CLIP present both opportunities and hidden dangers in AI.

New methods improve data security and efficiency for smart technology.

TagS enhances cybersecurity by using real-time detection and efficient resource management.

New techniques improve security against harmful input in language models.

A new method to protect machine learning models from malicious data attacks.

A study reveals new techniques for backdoor attacks on language models with minimal impact.

A look at the risks and assessments for Large Language Models in security.

New models improve security for IoT devices by addressing data complexity.

Two innovative algorithms effectively create subtle adversarial examples in language processing.

A study reveals the privacy concerns of browser fingerprinting and its implications for users.

This article examines the potential dangers of AI misuse and preventive measures.

Exploring LF QSDC as a secure solution for Web 3.0.

WebAssembly brings new risks like cryptojacking that users must understand.

A new tool predicts and assesses security risks in microservices.

Bamboo offers a secure way to search encrypted data even after key compromise.

A new model enhances fraud detection, reducing losses and improving security.

A new method uses language models to identify user privilege variables in code.

A new method improves anomaly detection by managing uncertainty effectively.

A new approach enhances smart contract auditing and vulnerability detection.

A study of techniques used to bypass safety measures in AI language models.

Introducing TABDet, a new method for detecting backdoor attacks across NLP tasks.

Explore the role of machine learning in analyzing blockchain data for various uses.

This article discusses a method for connecting attack behaviors to techniques using MITRE ATTCK.

This article examines how adversarial attacks alter the learned concepts of CNNs.

Examining how adversarial attacks affect AI predictions and explanations.

Using machine learning to improve web server vulnerability identification.

A new approach enhances malware detection using machine learning techniques.

A look into the difficulties of Stackelberg planning compared to traditional methods.

A dive into how different IDS perform against cyber threats.

A study on the effectiveness of Gemini-pro and Vision Transformers for cybersecurity.

Combining natural language comments and code structure improves vulnerability detection.

A new method improves detection of malicious traffic using machine learning and advanced hardware.

Examining the impact of attacks on machine learning efficiency and proposing new strategies.

This study examines how Bayesian methods can enhance malware detection systems.

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.