Navigating the security landscape of large language models in enterprise information systems

Figures & data

Figure 1. Dataset information.

Table 1. Highly cited Paper.

Paper	DOI	Total Citations	TC per Year	Normalized TC
(Dwivedi et al. 2023)	10.1016/j.ijinfomgt.2023.102642	224	224	37.475
(Eggmann et al. 2023)	10.1111/jerd.13046	15	15	2.51
(Pearce et al. 2023)	10.1109/SP46215.2023.10179324	5	5	0.837
(Maddigan and Susnjak 2023)	10.1109/ACCESS.2023.3274199	4	4	0.669
(Jouppi et al. 2023)	10.1145/3579371.3589350	4	4	0.669
CONF(X. X. Zhao, Li, and Wang 2022)	NA	3	1.5	2.143
(R. R. Zhao et al. 2023)	10.13998/j.cnki.issn1002–1248.23–0116	3	3	0.502
CONF (Li, Song, and Fan 2022)	NA	2	1	1.429
(Akbar et al. 2022)	10.1007/978-3-031 -10,684-2_7	2	1	1.429
(Timo Minssen, Vayena, and Cohen 2023)	10.1001/jama.2023.9651	2	2	0.335
(Kshetri 2023)	10.1109/MITP.2023.3275489	1	1	0.167
(Tan et al. 2023)	10.1016/j.xops.2023.100394	1	1	0.167
(Crothers, Japkowicz, and Viktor 2023)	10.1109/ACCESS.2023.3294090	1	1	0.167
(Sharma and Parasa 2023)	10.1038/s41575-023 -00,799-8	1	1	0.167
(Venerito et al. 2023)	10.1016/S2665–9913(23)00216–3	1	1	0.167
(Pei et al. 2023)	10.1109/TSE.2022.3231621	1	1	0.167

Figure 2. Most relevant source.

Figure 3. Most relevant authors.

Figure 4. Country scientific production.

Figure 5. Keywords distribution.

Figure 6. Proposed Model.

Figure 7. Accuracy and loss function.

Dwivedi, Y. K., N. Kshetri, L. Hughes, E. L. Slade, A. Jeyaraj, A. K. Kar, A. M. Baabdullah, et al. 2023. “Opinion Paper: “So What if ChatGPT Wrote it?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy.” International Journal of Information Management 71:102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.

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Eggmann, F., R. Weiger, N. U. Zitzmann, and M. B. Blatz. 2023. “Implications of Large Language Models Such as ChatGPT for Dental Medicine.” Journal of Esthetic and Restorative Dentistry 35 (7): 1098–1102. https://doi.org/10.1111/jerd.13046.

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Pearce, H., B. Tan, B. Ahmad, R. Karri, and B. Dolan-Gavitt. 2023. “Examining Zero-Shot Vulnerability Repair with Large Language Models.” Proceedings - IEEE Symposium on Security and Privacy. https://doi.org/10.1109/SP46215.2023.10179324.

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Maddigan, P., and T. Susnjak. 2023. “Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models.” Institute of Electrical and Electronics Engineers Access 11:45181–45193. https://doi.org/10.1109/ACCESS.2023.3274199.

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Jouppi, N. P., 2023. Proceedings - International Symposium on Computer Architecture https://doi.org/10.1145/3579371.3589350

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Zhao, X., L. Li, and Y.-X. Wang. 2022. “Provably Confidential Language Modelling.” NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.

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Zhao, R., Y. Huang, W. Ma, W. Dong, G. Xian, and T. Sun. 2023. “Insights and Reflections of the Impact of ChatGPT on Intelligent Knowledge Services in Libraries; [ChatGPT 对图书馆智能知识服务的启示与思考].” Journal of Library and Information Science in Agriculture 35 (1): 29–38. https://doi.org/10.13998/j.cnki.issn1002-1248.23-0116.

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Li, H., Y. Song, and L. Fan. 2022. “You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas.” NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.

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Akbar, K. A., S. Md Halim, Y. Hu, A. Singhal, L. Khan, and B. Thuraisingham. 2022. “Knowledge Mining in Cybersecurity: From Attack to Defense.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13383 LNCS, 427–441. https://doi.org/10.1007/978-3-031-10684-2_7.

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Minssen, T., E. Vayena, and I. Glenn Cohen. 2023. “The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models.” JAMA 330 (4): 315–316. https://doi.org/10.1001/jama.2023.9651.

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Kshetri, N. 2023. “Cybercrime and Privacy Threats of Large Language Models.” IT Professional 25 (3): 9–13. https://doi.org/10.1109/MITP.2023.3275489.

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Tan, T. F., J. P. C. Arun James Thirunavukarasu, P. A. Keane, L. R. Pasquale, M. D. Abramoff, J. Kalpathy-Cramer, J. Kalpathy-Cramer, et al. 2023. “Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology: Clinical Applications and Challenges.” Ophthalmology Science 3 (4): 100394. https://doi.org/10.1016/j.xops.2023.100394.

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Crothers, E. N., N. Japkowicz, and H. L. Viktor. 2023. “Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.” Institute of Electrical and Electronics Engineers Access 11:70977–71002. https://doi.org/10.1109/ACCESS.2023.3294090.

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Sharma, P., and S. Parasa. 2023. “ChatGPT and Large Language Models in Gastroenterology.” Nature Reviews Gastroenterology & Hepatology 20 (8): 481–482. https://doi.org/10.1038/s41575-023-00799-8.

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Venerito, V., D. Puttaswamy, F. Iannone, and L. Gupta. 2023. “Large Language Models and Rheumatology: A Comparative Evaluation.” The Lancet Rheumatology 5 (10): e574–78. https://doi.org/10.1016/S2665-9913(23)00216-3.

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Pei, K., Z. Xuan, J. Yang, S. Jana, and B. Ray. 2023. “Learning Approximate Execution Semantics from Traces for Binary Function Similarity.” IEEE Transactions on Software Engineering 49 (4): 2776–2790. https://doi.org/10.1109/TSE.2022.3231621.

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