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Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Gemini, and DALL-E.
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Kwon, R., Ashley, T., Castleberry, J., Mckenzie, P., Gourisetti, S.N.G.: Cyber threat dictionary using mitre att&ck matrix and nist cybersecurity framework mapping. In: 2020 Resilience Week (RWS), pp. 106–112 (2020). IEEE
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Brandao, P.R.: Advanced persistent threats (apt)-attribution-mictic framework extension. J. Comput. Sci 17
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2021
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Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H.P.d.O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al.: Evaluating large language models trained on code (2021)
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Yigit, Y., Bal, B., Karameseoglu, A., Duong, T.Q., Canberk, B.: Digital twin-enabled intelligent ddos detection mechanism for autonomous core networks. IEEE Communications Standards Magazine 6
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Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. Advances in neural information processing systems 35
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2023
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Park, D., An, G.-t., Kamyod, C., Kim, C.G.: A Study on Performance Improvement of Prompt Engineering for Generative AI with a Large Language Model. Journal of Web Engineering 22
2023
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Barreto, F., Moharkar, L., Shirodkar, M., Sarode, V., Gonsalves, S., Johns, A.: Generative Artificial Intelligence: Opportunities and Challenges of Large Language Models. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds.) Intelligent Computing and Networking, pp. 545–553. Springer, ??? (2023)
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Naveed, H., Khan, A.U., Qiu, S., Saqib, M., Anwar, S., Usman, M., Akhtar, N., Barnes, N., Mian, A.: A Comprehensive Overview of Large Language Models (2023)
2023
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Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., Isaac Abiodun, O.: A comprehensive study of chatgpt: advancements, limitations, and ethical considerations in natural language processing and cybersecurity. Information 14
2023
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Dun, C., Garcia, M.H., Zheng, G., Awadallah, A.H., Kyrillidis, A., Sim, R.: Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation (2023)
2023
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OpenAI: Introducing Gemini: Our Largest and Most Capable AI Model. [Online]. Available: https://cdn.openai.com/papers/gpt-4.pdf , Accessed Dec 12, 2023 (2023)
2023
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Wang, Y., Zhao, Y.: Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models (2023)
2023
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Scanlon, M., Breitinger, F., Hargreaves, C., Hilgert, J.-N., Sheppard, J.: Chatgpt for digital forensic investigation: The good, the bad, and the unknown. Forensic Science International: Digital Investigation 46
2023
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Zhou, Z., Wang, Q., Jin, M., Yao, J., Ye, J., Liu, W., Wang, W., Huang, X., Huang, K.: MathAttack: Attacking Large Language Models Towards Math Solving Ability (2023)
2023
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2023
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AI, A.: GPT-4 Jailbreak ve Hacking Via Rabbithole Attack, Prompt Injection, Content Moderation Bypass ve Weaponizing AI. [Online]. Available: https://adversa.ai/ , Accessed Dec 20, 2023
2023
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Yigit, Y., Nguyen, L.D., Ozdem, M., Kinaci, O.K., Hoang, T., Canberk, B., Duong, T.Q.: TwinPort: 5G Drone-assisted Data Collection with Digital Twin for Smart Seaports. Scientific Reports 13
2023
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Gupta, M., Akiri, C., Aryal, K., Parker, E., Praharaj, L.: From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy. IEEE Access (2023)
2023
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2023
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Xie, Y., Yi, J., Shao, J., Curl, J., Lyu, L., Chen, Q., Xie, X., Wu, F.: Defending chatgpt against jailbreak attack via self-reminder. Nature Machine Intelligence 5
2023
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2023
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2023
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Deng, G., Liu, Y., Mayoral-Vilches, V., Liu, P., Li, Y., Xu, Y., Zhang, T., Liu, Y., Pinzger, M., Rass, S.: PentestGPT: An LLM-empowered Automatic Penetration Testing Tool (2023)
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AI, O.: Introducing GPTs (2023). https://openai.com/blog/introducing-gpts Accessed 2023-11-12
2023
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Montiel, R.: ChatGPT (2021). https://chat.openai.com/g/g-zQfyABDUJ-gp-en-t-ester Accessed 2023-11-12
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Doustaly, L.: ChatGPT (2021). https://chat.openai.com/g/g-zQfyABDUJ-gp-en-t-ester Accessed 2023-11-12
2023
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Temara, S.: Maximizing penetration testing success with effective reconnaissance techniques using chatgpt (2023)
2023
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2023
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2023
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ONeal, A.: ChatGPT-Dan-Jailbreak.md (2023). https://gist.github.com/coolaj86/6f4f7b30129b0251f61fa7baaa881516 Accessed 2023-11-13
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2023
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Garza, E., Hemberg, E., Moskal, S., O’Reilly, U.-M.: Assessing large language model’s knowledge of threat behavior in mitre att&ck (2023)
2023
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2023
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Cited alongside, same era.
AI2.0 (2023). https://01.ai/ Accessed 2023-11-13
2023
Cited alongside, same era.
Kumamoto, T., Yoshida, Y., Fujima, H.: Evaluating large language models in ransomware negotiation: A comparative analysis of chatgpt and claude (2023)
2023
Cited alongside, same era.
Madani, P.: Metamorphic malware evolution: The potential and peril of large language models. In: 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), pp. 74–81 (2023). IEEE Computer Society
2023
Cited alongside, same era.
Kwon, H., Sim, M., Song, G., Lee, M., Seo, H.: Novel approach to cryptography implementation using chatgpt. Cryptology ePrint Archive (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
Iturbe, E., Rios, E., Rego, A., Toledo, N.: Artificial intelligence for next-generation cybersecurity: The ai4cyber framework. In: Proceedings of the 18th International Conference on Availability, Reliability and Security, pp. 1–8 (2023)
2023
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2023
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2023
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Simmonds, B.C.: Generating a large web traffic dataset. Master’s thesis, ETH Zurich (2023)
2023
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Zhou, J., Müller, H., Holzinger, A., Chen, F.: Ethical ChatGPT: Concerns, Challenges, and Commandments (2023)
2023
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Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., Liu, J.: Ethical considerations of using chatgpt in health care. Journal of Medical Internet Research 25
2023
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Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., Canberk, B.: Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In: 2023 IEEE Globecom Workshops (GC Wkshps) (2023)
2023
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Yigit, Y., Kinaci, O.K., Duong, T.Q., Canberk, B.: TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports. In: 2023 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 740–745 (2023). https://doi.org/10.1109/ICCWorkshops57953.2023.10283756
2023
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Capogrosso, L., Cunico, F., Cheng, D.S., Fummi, F., Cristani, M.: A Machine Learning-Oriented Survey on Tiny Machine Learning. IEEE Access 12
2024
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Team, Y.: Yandex Adds Next-generation Neural Network to Alice Virtual Assistant. [Online]. Available: https://yandex.com/company/press_center/press_releases/2023/17-05-23 , Accessed Jan 8, 2024
2024
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Lee, P.: Learning from Tay’s Introduction. [Online]. Available: https://blogs.microsoft.com/blog/2016/03/25/learning-tays-introduction/ , Accessed Jan 8, 2024
2024
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Lab, M.M.: NORMAN: World’s first psychopath AI. [Online]. Available: http://norman-ai.mit.edu/ , Accessed Jan 5, 2024
2024
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Lab, M.M.: Project Norman. [Online]. Available: https://www.media.mit.edu/projects/norman/overview/ , Accessed Jan 5, 2024
2024
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Legoux, G.: History of the Generative AI. Medium. [Online]. Available: https://medium.com/@glegoux/history-of-the-generative-ai-aa1aa7c63f3c , Accessed Feb 15, 2024
2024
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Team, T.: History of the Generative AI. Toloka AI. [Online]. Available: https://toloka.ai/blog/history-of-generative-ai/ , Accessed Feb 15, 2024
2024
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Mohammed, S.P., Hossain, G.: Chatgpt in education, healthcare, and cybersecurity: Opportunities and challenges. In: 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0316–0321 (2024). IEEE
2024
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AI, G.: AI Principles Progress Update 2023. [Online]. Available: https://ai.google/responsibility/principles/ , Accessed Jan 10, 2024
2024
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AI, G.: GPT-4 Technical Report. [Online]. Available: https://ai.google/responsibility/principles/ , Accessed Jan 10, 2024
2024
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Frieder, S., Pinchetti, L., Griffiths, R.-R., Salvatori, T., Lukasiewicz, T., Petersen, P., Berner, J.: Mathematical capabilities of chatgpt. Advances in Neural Information Processing Systems 36
2024
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Romera-Paredes, B., Barekatain, M., Novikov, A., Balog, M., Kumar, M.P., Dupont, E., Ruiz, F.J.R., Ellenberg, J.S., Wang, P., Fawzi, O., Kohli, P., Fawzi, A.: Mathematical discoveries from program search with large language models. Nature 625
2024
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Lu, C., Qian, C., Zheng, G., Fan, H., Gao, H., Zhang, J., Shao, J., Deng, J., Fu, J., Huang, K., Li, K., Li, L., Wang, L., Sheng, L., Chen, M., Zhang, M., Ren, Q., Chen, S., Gui, T., Ouyang, W., Wang, Y., Teng, Y., Wang, Y., Wang, Y., He, Y., Wang, Y., Wang, Y., Zhang, Y., Qiao, Y., Shen, Y., Mou, Y., Chen, Y., Zhang, Z., Shi, Z., Yin, Z., Wang, Z.: From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities (2024)
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Shevlane, T.: An early warning system for novel AI risks. Google DeepMind. [Online]. Available: https://deepmind.google/discover/blog/an-early-warning-system-for-novel-ai-risks/ , Accessed Jan 15, 2024
2024
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Tihanyi, N., Ferrag, M.A., Jain, R., Debbah, M.: CyberMetric: A Benchmark Dataset for Evaluating Large Language Models Knowledge in Cybersecurity (2024)
2024
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OpenAI: Disrupting Malicious Uses of AI by State-Affiliated Threat Actors. https://openai.com/blog/disrupting-malicious-uses-of-ai-by-state-affiliated-threat-actors Accessed 2024-02-25
2024
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Madiega, T.: Artificial Intelligence Act. European Parliamentary Research Service. [Online]. Available: https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.pdf , Accessed Jan 9, 2024
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Parliament), E.: EU AI Act: first regulation on artificial intelligence. [Online]. Available: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence , Accessed Jan 8, 2024
2024
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Harris, L.A., Jaikaran, C.: Highlights of the 2023 Executive Order on Artificial Intelligence for Congress. Congressional Research Service. [Online]. Available: https://crsreports.congress.gov/ , Accessed Jan 9, 2024
2024
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