A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised ...

This project implements a simple yet effective email spam detection system using Natural Language Processing (NLP) and machine learning techniques. It classifies incoming messages as "spam" or "ham" ...

New AI model detects email spam with zero training using BERT and FLAN-T5 The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine ...

Spammers used OpenAI to generate messages that were unique to each recipient, allowing them to bypass spam-detection filters and blast unwanted messages to more than 80,000 websites in four months ...

In recent years, considerable attention has focused on the potential of ML and DL methods to improve email spam detection. A comprehensive literature review is therefore imperative for developing an ...