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In recent years, large language models (LLMs) have become increasingly capable and can now interact with tools (i.e., call functions), read documents, and recursively call themselves.
A classification of sql-injection attacks and countermeasures
Halfond, W. G., Viegas, J., Orso, A., et al · 2006
Earlier work this paper cites.
XSS attacks: cross site scripting exploits and defense
Grossman, J · 2007
Earlier work this paper cites.
Practical malware analysis: the hands-on guide to dissecting malicious software
Sikorski, M. and Honig, A · 2012
Earlier work this paper cites.
The basics of hacking and penetration testing: ethical hacking and penetration testing made easy
Engebretson, P · 2013
Earlier work this paper cites.
A survey of emerging threats in cybersecurity
Jang-Jaccard, J. and Nepal, S · 2014
Earlier work this paper cites.
Generative models for spear phishing posts on social media
Seymour, J. and Tully, P · 2018
Earlier work this paper cites.
Machine learning in cybersecurity: A review
Handa, A., Sharma, A., and Shukla, S. K · 2019
Earlier work this paper cites.
Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., et al · 2020
Earlier work this paper cites.
Text data augmentation: Towards better detection of spear-phishing emails
Regina, M., Meyer, M., and Goutal, S · 2020
Earlier work this paper cites.
The 15 biggest data breaches of the 21st century
Hill, M. and Swinhoe, D · 2022
Earlier work this paper cites.
Will ai make cyber swords or shields?
Lohn, A. and Jackson, K · 2022
Earlier work this paper cites.
React: Synergizing reasoning and acting in language models
Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., and Cao, Y · 2022
Earlier work this paper cites.
Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al · 2023
Earlier work this paper cites.
Emergent autonomous scientific research capabilities of large language models
Boiko, D. A., MacKnight, R., and Gomes, G · 2023
Cited alongside, same era.
Chemcrow: Augmenting large-language models with chemistry tools
Bran, A. M., Cox, S., White, A. D., and Schwaller, P · 2023
Cited alongside, same era.
More than you’ve asked for: A comprehensive analysis of novel prompt injection threats to application-integrated large language models
Greshake, K., Abdelnabi, S., Mishra, S., Endres, C., Holz, T., and Fritz, M · 2023
Cited alongside, same era.
Large language models can be used to effectively scale spear phishing campaigns
Hazell, J · 2023
Cited alongside, same era.
Toolformer: Language models can teach themselves to use tools
Schick, T., Dwivedi-Yu, J., Dessì, R., Raileanu, R., Lomeli, M., Zettlemoyer, L., Cancedda, N., and Scialom, T · 2023
Later among the works it cites.
Reflexion: Language agents with verbal reinforcement learning
Shinn, N., Cassano, F., Gopinath, A., Narasimhan, K. R., and Yao, S · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al · 2023
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Introduction to llm agents
Varshney, T · 2023
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Llm powered autonomous agents, 2023
Weng, L · 2023
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Jiang, A. Q., Sablayrolles, A., Mensch, A., Bamford, C., Chaplot, D. S., Casas, D. d. l., Bressand, F., Lengyel, G., Lample, G., Saulnier, L., et al · 2023
Cited alongside, same era.
Exploiting programmatic behavior of llms: Dual-use through standard security attacks
Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., and Hashimoto, T · 2023
Cited alongside, same era.
Langchain, 2023
LangChain · 2023
Cited alongside, same era.
Augmented language models: a survey
Mialon, G., Dessì, R., Lomeli, M., Nalmpantis, C., Pasunuru, R., Raileanu, R., Rozière, B., Schick, T., Dwivedi-Yu, J., Celikyilmaz, A., et al · 2023
Cited alongside, same era.
Solarwinds hack explained: Everything you need to know
Oladimeji, S. and Sean, K · 2023
Cited alongside, same era.
New models and developer products announced at devday, 2023
OpenAI · 2023
Cited alongside, same era.
An attacker’s dream? exploring the capabilities of chatgpt for developing malware
Pa Pa, Y. M., Tanizaki, S., Kou, T., Van Eeten, M., Yoshioka, K., and Matsumoto, T · 2023
Cited alongside, same era.
Playwright: Fast and reliable end-to-end testing for modern web apps, 2023
playwright · 2023
Cited alongside, same era.
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al · 2023
Later among the works it cites.
Shadow alignment: The ease of subverting safely-aligned language models
Yang, X., Wang, X., Zhang, Q., Petzold, L., Wang, W. Y., Zhao, X., and Lin, D · 2023
Later among the works it cites.
Removing rlhf protections in gpt-4 via fine-tuning
Zhan, Q., Fang, R., Bindu, R., Gupta, A., Hashimoto, T., and Kang, D · 2023
Later among the works it cites.
Judging llm-as-a-judge with mt-bench and chatbot arena, 2023
Zheng, L., Chiang, W.-L., Sheng, Y., Zhuang, S., Wu, Z., Zhuang, Y., Lin, Z., Li, Z., Li, D., Xing, E. P., Zhang, H., Gonzalez, J. E., and Stoica, I · 2023
Later among the works it cites.
Universal and transferable adversarial attacks on aligned language models
Zou, A., Wang, Z., Kolter, J. Z., and Fredrikson, M · 2023
Later among the works it cites.
Exclusive: Russian hackers were inside ukraine telecoms giant for months
Balmforth, T · 2024
Closest in time.
Jiang, A. Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D. S., Casas, D. d. l., Hanna, E. B., Bressand, F., et al · 2024
Closest in time.
Nous hermes 2 - yi-34b, 2024
Research, N · 2024
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Openhermes 2.5 - mistral 7b, 2024
Teknium · 2024
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