This paper argues that a range of current AI systems have learned how to deceive humans.
We define deception as the systematic inducement of false beliefs in the pursuit of some …

This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

Artificial intelligence (AI) systems will increasingly be used to cause harm as they grow more
capable. In fact, AI systems are already starting to help automate fraudulent activities, violate …

The rising use of Large Language Models (LLMs) to create and disseminate malware poses
a significant cybersecurity challenge due to their ability to generate and distribute attacks …

In this paper, we evaluate the capability of large language models to conduct personalized
phishing attacks and compare their performance with human experts and AI models from …

This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and
more evidence shows that AI is also used for offensive purposes. Prior works have revealed …

This paper investigates the application of pre-trained large language models (LLMs) for
spam email classification using zero-shot prompting. We evaluate the performance of both …

The exponential rise of phishing attacks has become a critical threat to online security,
exploiting both system vulnerabilities and human psychology. Although anti-phishing …

The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …