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In this paper, we explore the potential of Large Language Models (LLMs) to reason about threats, generate information about tools, and automate cyber campaigns.
Cybervan: A cyber security virtual assured network testbed
2016
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Cyber threat assessment via attack scenario simulation using an integrated adversary and network modeling approach
2018
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Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
2019
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Roberta: A robustly optimized bert pretraining approach, 2019
2019
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Language models are unsupervised multitask learners
2019
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Language models are few-shot learners, 2020
2020
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The pile: An 800gb dataset of diverse text for language modeling, 2020
2020
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2020
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Adversarial genetic programming for cyber security: A rising application domain where gp matters
2020
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Exploring the limits of transfer learning with a unified text-to-text transformer, 2020
2020
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Cyber ranges and security testbeds: Scenarios, functions, tools and architecture
2020
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Deberta: Decoding-enhanced bert with disentangled attention, 2021
2021
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Using a collated cybersecurity dataset for machine learning and artificial intelligence
2021
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Cyberbattlesim
2021
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Scaling language models: Methods, analysis & insights from training gopher
2021
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GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
2021
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Language models as agent models, 2022
2022
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Few-shot learning with retrieval augmented language models
2022
Later among the works it cites.
Cyberevo: evolutionary search of knowledge-based behaviors in a cyber attack campaign
2022
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Bloom: A 176b-parameter open-access multilingual language model
2022
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Chain of thought prompting elicits reasoning in large language models
2022
Later among the works it cites.
Collaborating with language models for embodied reasoning
2023
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Gpt-neox-20b: An open-source autoregressive language model, 2022
2022
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Palm: Scaling language modeling with pathways
2022
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Training compute-optimal large language models, 2022
2022
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
2022
Cited alongside, same era.
Inner monologue: Embodied reasoning through planning with language models
2022
Cited alongside, same era.
ATT&CK Matrix for Enterprise
Cited in the paper.
Gpt-4 technical report, 2023
2023
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Synthetic prompting: Generating chain-of-thought demonstrations for large language models
2023
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Llama: Open and efficient foundation language models
2023
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Self-consistency improves chain of thought reasoning in language models, 2023
2023
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Describe, explain, plan and select: Interactive planning with large language models enables open-world multi-task agents, 2023
2023
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