ChatGPT: The Curious Case of Attack Vectors' Supply Chain Management Improvement

Author:

Chowdhury Minhaz1,Rifat Nafiz2,Latif Shadman3,Ahsan Mostofa2,Rahman Md Saifur4,Gomes Rahul5

Affiliation:

1. East Stroudsburg University,Department of Computer Science,East Stroudsburg,PA,USA

2. North Dakota State University,Department of Computer Science,Fargo,ND,USA

3. American International University Bangladesh,Department of Computer Science,Dhaka,Bangladesh

4. University of Minnesota, Crookston,Department of Math, Science, and Technology,Crookston,MN,USA

5. University of Wisconsin Eau Claire,Department of Computer Science,Eau Claire,WI,USA

Publisher

IEEE

Reference27 articles.

1. Social Engineering: The Looming Threat

2. BERT Against Social Engineering Attack: Phishing Text Detection

3. Machine learning within a con resistant trust model;chowdhury;Proceedings of the 33rd International Conference on Computers and Their Applications CATA 2018,2018

4. Deception in cyberspace: An empirical study on a con man attack

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2. A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly;High-Confidence Computing;2024-06

3. Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

4. Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis;Connection Science;2024-05-16

5. Exploring the Potential of Large Language Models in Supply Chain Management;Journal of Global Information Management;2024-01-10

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