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The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence.
ELIZA—a computer program for the study of natural language communication between man and machine
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Cybert: Cybersecurity claim classification by fine-tuning the bert language model
Kimia Ameri, Michael Hempel, Hamid Sharif, Juan Lopez Jr, and Kalyan Perumalla. 2021 · 2021
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Cybert: Contextualized embeddings for the cybersecurity domain. In 2021 IEEE International Conference on Big Data (Big Data) . IEEE, 3334–3342
Priyanka Ranade, Aritran Piplai, Anupam Joshi, and Tim Finin. 2021 · 2021
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Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, and Degui Zhi. 2021 · 2021
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SecureBERT: A Domain-Specific Language Model for Cybersecurity. In International Conference on Security and Privacy in Communication Systems . Springer, 39–56
Ehsan Aghaei, Xi Niu, Waseem Shadid, and Ehab Al-Shaer. 2022 · 2022
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An accuracy-maximization approach for claims classifiers in document content analytics for cybersecurity
Kimia Ameri, Michael Hempel, Hamid Sharif, Juan Lopez Jr, and Kalyan Perumalla. 2022 · 2022
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CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain
Markus Bayer, Philipp Kuehn, Ramin Shanehsaz, and Christian Reuter. 2022 · 2022
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang. 2022 · 2022
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Targeted phishing campaigns using large scale language models
Rabimba Karanjai. 2022 · 2022
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All the news that’s fit to fabricate: AI-generated text as a tool of media misinformation
Sarah Kreps, R Miles McCain, and Miles Brundage. 2022 · 2022
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Alexatm 20b: Few-shot learning using a large-scale multilingual seq2seq model
Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, et al · 2022
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Cyber security threat modeling based on the MITRE Enterprise ATTACK Matrix
Wenjun Xiong, Emeline Legrand, Oscar Åberg, and Robert Lagerström. 2022 · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al · 2022
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Vulnerability detection via multimodal learning: datasets and analysis. In Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security . 1225–1227
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ChatGPT: Cyber Security Threats and Countermeasures
Samuel Addington. 2023 · 2023
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
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RatGPT: Turning online LLMs into Proxies for Malware Attacks
Mika Beckerich, Laura Plein, and Sergio Coronado. 2023 · 2023
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Gpthreats-3: Is automatic malware generation a threat?. In 2023 IEEE Security and Privacy Workshops (SPW) . IEEE, 238–254
Marcus Botacin. 2023 · 2023
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Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resources
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Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, and Lucas C Cordeiro. 2023 · 2023
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PV Charan, Hrushikesh Chunduri, P Mohan Anand, and Sandeep K Shukla. 2023 · 2023
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Bypassing antivirus detection: old-school malware, new tricks
Efstratios Chatzoglou, Georgios Karopoulos, Georgios Kambourakis, and Zisis Tsiatsikas. 2023 · 2023
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When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
Chong Chen, Jianzhong Su, Jiachi Chen, Yanlin Wang, Tingting Bi, Yanli Wang, Xingwei Lin, Ting Chen, and Zibin Zheng. 2023 · 2023
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MITRE ATTACK
MITRE Corporation. 2023 · 2023
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Do you still need a manual smart contract audit?
Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, and Arthur Gervais. 2023 · 2023
Cited alongside, same era.
Learning Risk Factors from App Reviews: A Large Language Model Approach for Risk Matrix Construction
Vitor Mesaque Alves de Lima, Jacson Rodrigues Barbosa, and Ricardo Marcondes Marcacini. 2023 · 2023
Cited alongside, same era.
Pentestgpt: An llm-empowered automatic penetration testing tool
Gelei Deng, Yi Liu, Víctor Mayoral-Vilches, Peng Liu, Yuekang Li, Yuan Xu, Tianwei Zhang, Yang Liu, Martin Pinzger, and Stefan Rass. 2023a · 2023
Cited alongside, same era.
Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, and Emmanouil Benetos. 2023b · 2023
Cited alongside, same era.
Harnessing LLMs in Enterprise Risk Management: A New Frontier in Decision-making
Kris Naleszkiewicz. 2023 · 2023
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A comprehensive overview of large language models
Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Nick Barnes, and Ajmal Mian. 2023 · 2023
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Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane, Ivan A Fernandez, Sudip Mittal, and Shahram Rahimi. 2023 · 2023
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VulDetect: A novel technique for detecting software vulnerabilities using Language Models. In 2023 IEEE International Conference on Cyber Security and Resilience (CSR) . IEEE, 105–110
Marwan Omar and Stavros Shiaeles. 2023 · 2023
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An attacker’s dream? exploring the capabilities of chatgpt for developing malware. In Proceedings of the 16th Cyber Security Experimentation and Test Workshop . 10–18
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Tushar Subhra Dutta. 2023 · 2023
Cited alongside, same era.
How Useful are Educational Questions Generated by Large Language Models?. In International Conference on Artificial Intelligence in Education . Springer, 536–542
Sabina Elkins, Ekaterina Kochmar, Iulian Serban, and Jackie CK Cheung. 2023 · 2023
Cited alongside, same era.
Decoding the threat landscape: Chatgpt, fraudgpt, and wormgpt in social engineering attacks
Polra Victor Falade. 2023 · 2023
Cited alongside, same era.
A Review of the Role of ChatGPT for Clinical Decision Support Systems. In 2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES) . IEEE, 439–442
Sahar Fawzi. 2023 · 2023
Cited alongside, same era.
SecureFalcon: The Next Cyber Reasoning System for Cyber Security
Mohamed Amine Ferrag, Ammar Battah, Norbert Tihanyi, Merouane Debbah, Thierry Lestable, and Lucas C Cordeiro. 2023a · 2023
Cited alongside, same era.
Revolutionizing Cyber Threat Detection with Large Language Models
Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi, Lucas C Cordeiro, Merouane Debbah, and Thierry Lestable. 2023b · 2023
Cited alongside, same era.
Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, and Guannan Zhang. 2023 · 2023
Cited alongside, same era.
The Advance of GPTs and Language Model in Cyber Security
Mingze Gao. 2023 · 2023
Cited alongside, same era.
Yin Minn Pa Pa, Shunsuke Tanizaki, Tetsui Kou, Michel Van Eeten, Katsunari Yoshioka, and Tsutomu Matsumoto. 2023 · 2023
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Keivalya Pandya and Mehfuza Holia. 2023 · 2023
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Examining zero-shot vulnerability repair with large language models. In 2023 IEEE Symposium on Security and Privacy (SP) . IEEE, 2339–2356
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt. 2023 · 2023
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao. 2023 · 2023
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PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Javier Rando, Fernando Perez-Cruz, and Briland Hitaj. 2023 · 2023
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Evaluating ChatGPT as an adjunct for radiologic decision-making
Arya Rao, John Kim, Meghana Kamineni, Michael Pang, Winston Lie, and Marc D Succi. 2023 · 2023
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Generating Phishing Attacks using ChatGPT
Sayak Saha Roy, Krishna Vamsi Naragam, and Shirin Nilizadeh. 2023 · 2023
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Generating Phishing Attacks using ChatGPT
Sayak Saha Roy, Krishna Vamsi Naragam, and Shirin Nilizadeh. 2023 · 2023
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KARTAL: Web Application Vulnerability Hunting Using Large Language Models: Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models
Sinan Sakaoglu. 2023 · 2023
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In-Context Impersonation Reveals Large Language Models’ Strengths and Biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, and Zeynep Akata. 2023 · 2023
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Lost at c: A user study on the security implications of large language model code assistants
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, and Brendan Dolan-Gavitt. 2023 · 2023
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Enhancing password security: advancements in password segmentation technique for high-quality honeywords
Satya Sannihith Lingutla. 2023 · 2023
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Cpllm: Clinical prediction with large language models
Ofir Ben Shoham and Nadav Rappoport. 2023 · 2023
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LLM in the Shell: Generative Honeypots
Muris Sladić, Veronica Valeros, Carlos Catania, and Sebastian Garcia. 2023 · 2023
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Evaluating the Performance of different large language models on health consultation and patient education in urolithiasis
Haifeng Song, Yi Xia, Zhichao Luo, Hui Liu, Yan Song, Xue Zeng, Tianjie Li, Guangxin Zhong, Jianxing Li, Ming Chen, et al · 2023
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Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, and Jun Zhang. 2023 · 2023
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Wesley Tann, Yuancheng Liu, Jun Heng Sim, Choon Meng Seah, and Ee-Chien Chang. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Web Content Filtering through knowledge distillation of Large Language Models
Tamás Vörös, Sean Paul Bergeron, and Konstantin Berlin. 2023 · 2023
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Huatuo: Tuning llama model with chinese medical knowledge
Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, and Ting Liu. 2023 · 2023
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Wizardlm: Empowering large language models to follow complex instructions
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023 · 2023
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Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martinez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, and Dragan Gašević. 2023 · 2023
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Harnessing the power of llms in practice: A survey on chatgpt and beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, and Xia Hu. 2023a · 2023
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Honey, I Chunked the Passwords: Generating Semantic Honeywords Resistant to Targeted Attacks Using Pre-trained Language Models. In International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment . Springer, 89–108
Fangyi Yu and Miguel Vargas Martin. 2023 · 2023
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Xuanyuan 2.0: A large chinese financial chat model with hundreds of billions parameters. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management . 4435–4439
Xuanyu Zhang and Qing Yang. 2023 · 2023
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Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise
Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi, et al · 2023
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Balancing specialized and general skills in llms: The impact of modern tuning and data strategy
Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, and Liang Zhao. 2023b · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
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