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Popular Python libraries used in Hugging Face models subject to poisoned metadata attack

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...
GitHub

Malware Detection using Deep Learning

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...
Digital Trends

Google flags an AI-powered malware which rewrites itself in real time

What Happened: So, Google’s top security – Google’s Threat Intelligence Group, or GTIG – just found something that is frankly pretty terrifying. It’s a new type of malware they’re calling PROMPTFLUX.
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

A Deep Learning Framework for Malware Classification using NLP Techniques

Abstract: Malware classification is a crucial aspect of cybersecurity, vital for recognizing and addressing potential threats. This study introduces a fresh perspective on malware classification ...
IEEE

Malware Classification Using Deep Learning

Abstract: The rapid advancement of malware implies that malware detection and malware detection methods must advance as well. Signature detection methods are no longer able to adapt to newly evolving ...
Frontiers

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models

Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...