Latest Articles for Vulnerabilities

Examining risks in shared state of AR applications and ways to enhance security.

A new framework improves vulnerability detection in embedded network communication.

Examining the dangers posed by adversarial attacks on image and text models.

Timing attacks pose risks to software, revealing sensitive information through execution timing.

Research highlights pre-trained models' effectiveness in fixing software vulnerabilities.

A study on vulnerabilities in IoT code found online highlights security risks.

Learn how to protect software from side-channel attacks using automated tools.

Zeal enhances data protection while simplifying sharing and storage.

Exploring ChatGPT's effectiveness in identifying vulnerabilities in Python code.

Examining the security flaws in EdDSA digital signatures.

This article examines remote code execution vulnerabilities in LLM frameworks and suggests protective measures.

Learn how program variants can improve WebAssembly security against vulnerabilities.

A new framework aims to improve the collection and understanding of software vulnerabilities.

A new framework to detect and repair vulnerabilities in smart contracts.

VulnSense uses advanced methods for detecting vulnerabilities in Ethereum smart contracts.

A look into smart contract vulnerabilities and the role of interval analysis.

A new framework combines CodeBERT and GNNs for better vulnerability detection in software.

Research examines the vulnerabilities and patch process in Golang development.

WebAssembly boosts web app speed but raises security concerns.

A new tool aims to improve security in open-source software development.

New framework improves detection of software vulnerabilities using innovative techniques.

New methods aim to protect AI models from attacks using optimized strategies.

Examining the risks of integrating Foundation Models into Federated Learning systems.

Leveraging AI to improve the analysis and security of smart contracts.

Recognizing hidden flaws improves software vulnerability prediction and security practices.

Improving software security by identifying recurring coding flaws in open-source projects.

This article outlines a method for assessing security risks in DLT applications.

A new dataset enhances vulnerability detection in open-source software for better security.

This article discusses the role of SATD in software security.

This research highlights challenges in aligning LLM outputs with human values.

New GPU vulnerability raises security concerns for machine learning applications.

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

Analyzing how red-teaming can enhance AI safety and address potential risks.

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

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

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

Examining vulnerabilities and safety strategies for LLM-powered scientific agents.

Exploring how companies approach secure software development in an evolving digital landscape.

A new tool helps detect Reentrancy vulnerabilities in smart contracts more effectively.

A new framework targets cloud security risks with improved access control management.