Evaluating Cybersecurity Risks in NLP Models: Google Bard as Bard of Prey and ChatGPT as Cyber Crime Aide

Cameron Wohlbach; Md Minhaz Chowdhury; Shadman Latif

doi:10.29007/8rn2

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Evaluating Cybersecurity Risks in NLP Models: Google Bard as Bard of Prey and ChatGPT as Cyber Crime Aide

10 pages•Published: March 21, 2024

Cameron Wohlbach, Md Minhaz Chowdhury and Shadman Latif

Abstract

One of the biggest trends in today’s technology and computer science is in the use of natural language processing. Their use in AI has become specifically prevalent in companies such as OpenAI and Google. With their ChatGPT and Bard models, they have made intelligent and social AI models that can mimic human speech and conversation. While talking to these AI models, people can gain vast knowledge by communicating with them. With it being so easy, malicious hackers have started to use it to streamline their attacks. Both companies have tried to put restrictions to help increase the security of their product. However, there are ways to get around it by using different wording that might sound less harmful. This study shows evidence from experimentation with both Google Bard and ChatGPT.

Keyphrases: AI, AI Model, Bard of Prey, Chatbot, ChatGPT, Google Bard, machine learning, Malware, Natural Language Processing, OpenAI, Phishing, Script Kiddie

In: Ajay Bandi, Mohammad Hossain and Ying Jin (editors). Proceedings of 39th International Conference on Computers and Their Applications, vol 98, pages 159--168

Links:	https://easychair.org/publications/paper/5X4s
	https://doi.org/10.29007/8rn2

BibTeX entry

@inproceedings{CATA2024:Evaluating_Cybersecurity_Risks_in,
  author    = {Cameron Wohlbach and Md Minhaz Chowdhury and Shadman Latif},
  title     = {Evaluating Cybersecurity Risks in NLP Models: Google Bard as Bard of Prey and ChatGPT as Cyber Crime Aide},
  booktitle = {Proceedings of 39th International Conference on Computers and Their Applications},
  editor    = {Ajay Bandi and Mohammad Hossain and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {98},
  pages     = {159--168},
  year      = {2024},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/5X4s},
  doi       = {10.29007/8rn2}}

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