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Large Language Models (LLMs) have emerged as powerful tools across various domains within cyber security.
Decentralizing privacy: Using blockchain to protect personal data,
G. Zyskind, O. Nathan, et al., · 2015
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Hawk: The blockchain model of cryptography and privacy-preserving smart contracts,
A. Kosba, A. Miller, E. Shi, Z. Wen, C. Papamanthou, · 2016
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On the security and performance of proof of work blockchains,
A. Gervais, G. O. Karame, K. Wüst, V. Glykantzis, H. Ritzdorf, S. Capkun, · 2016
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Performance modeling of pbft consensus process for permissioned blockchain network (hyperledger fabric),
H. Sukhwani, J. M. Martínez, X. Chang, K. S. Trivedi, A. Rindos, · 2017
Earlier work this paper cites.
Securing proof-of-stake blockchain protocols,
W. Li, S. Andreina, J.-M. Bohli, G. Karame, · 2017
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Peer to peer for privacy and decentralization in the internet of things,
M. Conoscenti, A. Vetro, J. C. De Martin, · 2017
Earlier work this paper cites.
Universal language model fine-tuning for text classification,
J. Howard, S. Ruder, · 2018
Earlier work this paper cites.
Untangling blockchain: A data processing view of blockchain systems,
T. T. A. Dinh, R. Liu, M. Zhang, G. Chen, B. C. Ooi, J. Wang, · 2018
Earlier work this paper cites.
Crowdbc: A blockchain-based decentralized framework for crowdsourcing,
M. Li, J. Weng, A. Yang, W. Lu, Y. Zhang, L. Hou, J.-N. Liu, Y. Xiang, R. H. Deng, · 2018
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Security and privacy on blockchain,
R. Zhang, R. Xue, L. Liu, · 2019
Earlier work this paper cites.
Transformer-xl: Attentive language models beyond a fixed-length context,
Z. Dai, Z. Yang, Y. Yang, J. Carbonell, Q. Le, R. Salakhutdinov, · 2019
Earlier work this paper cites.
Proof-of-stake sidechains,
P. Gaži, A. Kiayias, D. Zindros, · 2019
Earlier work this paper cites.
Smarter smart contract development tools,
M. Coblenz, J. Sunshine, J. Aldrich, B. A. Myers, · 2019
Earlier work this paper cites.
A survey on the security of blockchain systems,
X. Li, P. Jiang, T. Chen, X. Luo, Q. Wen, · 2020
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Tabert: Pretraining for joint understanding of textual and tabular data,
P. Yin, G. Neubig, W.-t. Yih, S. Riedel, · 2020
Earlier work this paper cites.
A scalable multi-layer pbft consensus for blockchain,
W. Li, C. Feng, L. Zhang, H. Xu, B. Cao, M. A. Imran, · 2020
Earlier work this paper cites.
Scaling blockchains without giving up decentralization and security: A solution to the blockchain scalability trilemma,
G. D. Monte, D. Pennino, M. Pizzonia, · 2020
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Blockchain security: A survey of techniques and research directions,
J. Leng, M. Zhou, J. L. Zhao, Y. Huang, Y. Bian, · 2020
Earlier work this paper cites.
Towards multiple-mix-attack detection via consensus-based trust management in iot networks,
Z. Ma, L. Liu, W. Meng, · 2020
Earlier work this paper cites.
Modeling the impact of network connectivity on consensus security of proof-of-work blockchain,
Y. Xiao, N. Zhang, W. Lou, Y. T. Hou, · 2020
Earlier work this paper cites.
Ethainter: a smart contract security analyzer for composite vulnerabilities,
L. Brent, N. Grech, S. Lagouvardos, B. Scholz, Y. Smaragdakis, · 2020
Earlier work this paper cites.
Soda: A generic online detection framework for smart contracts.,
T. Chen, R. Cao, T. Li, X. Luo, G. Gu, Y. Zhang, Z. Liao, H. Zhu, G. Chen, Z. He, et al., · 2020
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A survey of blockchain technology on security, privacy, and trust in crowdsourcing services,
Y. Ma, Y. Sun, Y. Lei, N. Qin, J. Lu, · 2020
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A blockchain-based shamir’s threshold cryptography for data protection in industrial internet of things of smart city,
L. Tan, K. Yu, C. Yang, A. K. Bashir, · 2021
Earlier work this paper cites.
Sigrec: Automatic recovery of function signatures in smart contracts,
T. Chen, Z. Li, X. Luo, X. Wang, T. Wang, Z. He, K. Fang, Y. Zhang, H. Zhu, H. Li, et al., · 2021
Earlier work this paper cites.
Dynamic vulnerability detection on smart contracts using machine learning,
M. Eshghie, C. Artho, D. Gurov, · 2021
Earlier work this paper cites.
A survey on blockchain for information systems management and security,
D. Berdik, S. Otoum, N. Schmidt, D. Porter, Y. Jararweh, · 2021
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Smart contract security: A practitioners’ perspective,
Z. Wan, X. Xia, D. Lo, J. Chen, X. Luo, X. Yang, · 2021
Earlier work this paper cites.
On the just-in-time discovery of profit-generating transactions in defi protocols,
L. Zhou, K. Qin, A. Cully, B. Livshits, A. Gervais, · 2021
Earlier work this paper cites.
As strong as its weakest link: How to break blockchain dapps at rpc service.,
K. Li, J. Chen, X. Liu, Y. R. Tang, X. Wang, X. Luo, · 2021
Earlier work this paper cites.
Deter: Denial of ethereum txpool services,
K. Li, Y. Wang, Y. Tang, · 2021
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Deplot: One-shot visual language reasoning by plot-to-table translation,
F. Liu, J. M. Eisenschlos, F. Piccinno, S. Krichene, C. Pang, K. Lee, M. Joshi, W. Chen, N. Collier, Y. Altun, · 2022
Earlier work this paper cites.
Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models,
P. Vaithilingam, T. Zhang, E. L. Glassman, · 2022
Earlier work this paper cites.
Tokencat: detect flaw of authentication on erc20 tokens,
Z. He, Z. Liao, F. Luo, D. Liu, T. Chen, Z. Li, · 2022
Earlier work this paper cites.
Sg-pbft: A secure and highly efficient distributed blockchain pbft consensus algorithm for intelligent internet of vehicles,
G. Xu, H. Bai, J. Xing, T. Luo, N. N. Xiong, X. Cheng, S. Liu, X. Zheng, · 2022
Earlier work this paper cites.
Large-scale empirical study of inline assembly on 7.6 million ethereum smart contracts,
Z. Liao, S. Song, H. Zhu, X. Luo, Z. He, R. Jiang, T. Chen, J. Chen, T. Zhang, X. Zhang, · 2022
Earlier work this paper cites.
Impact and user perception of sandwich attacks in the defi ecosystem,
Y. Wang, P. Zuest, Y. Yao, Z. Lu, R. Wattenhofer, · 2022
Earlier work this paper cites.
Understanding flash-loan-based wash trading,
R. Gan, L. Wang, X. Ruan, X. Lin, · 2022
Earlier work this paper cites.
Chatgpt for good? on opportunities and challenges of large language models for education,
E. Kasneci, K. Seßler, S. Küchemann, M. Bannert, D. Dementieva, F. Fischer, U. Gasser, G. Groh, S. Günnemann, E. Hüllermeier, et al., · 2023
Earlier work this paper cites.
Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection,
K. Greshake, S. Abdelnabi, S. Mishra, C. Endres, T. Holz, M. Fritz, · 2023
Earlier work this paper cites.
A brief overview of chatgpt: The history, status quo and potential future development,
T. Wu, S. He, J. Liu, S. Sun, K. Liu, Q.-L. Han, Y. Tang, · 2023
Earlier work this paper cites.
The scope of chatgpt in software engineering: A thorough investigation,
W. Ma, S. Liu, W. Wang, Q. Hu, Y. Liu, C. Zhang, L. Nie, Y. Liu, · 2023
Earlier work this paper cites.
A survey on evaluation of large language models,
Y. Chang, X. Wang, J. Wang, Y. Wu, L. Yang, K. Zhu, H. Chen, X. Yi, C. Wang, Y. Wang, et al., · 2023
Earlier work this paper cites.
Machine learning for blockchain: Literature review and open research questions,
L. Zhang, · 2023
Earlier work this paper cites.
Financial fraud detection based on deep learning: Towards large-scale pre-training transformer models,
H. Wang, J. Zheng, I. E. Carvajal-Roca, L. Chen, M. Bai, · 2023
Earlier work this paper cites.
Large language models for software engineering: A systematic literature review,
X. Hou, Y. Zhao, Y. Liu, Z. Yang, K. Wang, L. Li, X. Luo, D. Lo, J. C. Grundy, H. Wang, · 2023
Earlier work this paper cites.
Inferfix: End-to-end program repair with llms,
M. Jin, S. Shahriar, M. Tufano, X. Shi, S. Lu, N. Sundaresan, A. Svyatkovskiy, · 2023
Earlier work this paper cites.
Summary of chatgpt-related research and perspective towards the future of large language models,
Y. Liu, T. Han, S. Ma, J. Zhang, Y. Yang, J. Tian, H. He, A. Li, M. He, Z. Liu, et al., · 2023
Earlier work this paper cites.
Large language model-powered smart contract vulnerability detection: New perspectives,
S. Hu, T. Huang, F. İlhan, S. F. Tekin, L. Liu, · 2023
Cited alongside, same era.
Pentestgpt: An llm-empowered automatic penetration testing tool,
G. Deng, Y. Liu, V. Mayoral-Vilches, P. Liu, Y. Li, Y. Xu, T. Zhang, Y. Liu, M. Pinzger, S. Rass, · 2023
Cited alongside, same era.
Bc4llm: Trusted artificial intelligence when blockchain meets large language models,
H. Luo, J. Luo, A. V. Vasilakos, · 2023
Cited alongside, same era.
Assessing how large language models can be integrated with or used for blockchain technology: Overview and illustrative case study,
J. G. M. Mboma, O. T. Tshipata, W. V. Kambale, K. Kyamakya, · 2023
Cited alongside, same era.
Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,
P. P. Ray, · 2023
Later among the works it cites.
Chatgpt and open-ai models: A preliminary review,
K. I. Roumeliotis, N. D. Tselikas, · 2023
Later among the works it cites.
Toolllm: Facilitating large language models to master 16000+ real-world apis,
Y. Qin, S. Liang, Y. Ye, K. Zhu, L. Yan, Y. Lu, Y. Lin, X. Cong, X. Tang, B. Qian, et al., · 2023
Later among the works it cites.
Dao to hanoi via desci: Ai paradigm shifts from alphago to chatgpt,
Q. Miao, W. Zheng, Y. Lv, M. Huang, W. Ding, F.-Y. Wang, · 2023
Later among the works it cites.
Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,
Y. Shen, K. Song, X. Tan, D. Li, W. Lu, Y. Zhuang, · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Y. Gai, L. Zhou, K. Qin, D. Song, A. Gervais, · 2023
Cited alongside, same era.
Efficient avoidance of vulnerabilities in auto-completed smart contract code using vulnerability-constrained decoding,
A. Storhaug, J. Li, T. Hu, · 2023
Cited alongside, same era.
A survey of large language models,
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, Y. Du, C. Yang, Y. Chen, Z. Chen, J. Jiang, R. Ren, Y. Li, X. Tang, Z. Liu, P. Liu, J. Nie, J. rong Wen, · 2023
Cited alongside, same era.
Do you still need a manual smart contract audit?,
I. David, L. Zhou, K. Qin, D. Song, L. Cavallaro, A. Gervais, · 2023
Cited alongside, same era.
Who is smarter? an empirical study of ai-based smart contract creation,
R. Karanjai, E. Li, L. Xu, W. Shi, · 2023
Cited alongside, same era.
Assbert: Active and semi-supervised bert for smart contract vulnerability detection,
X. Sun, L. Tu, J. Zhang, J. Cai, B. Li, Y. Wang, · 2023
Cited alongside, same era.
Pscvfinder: A prompt-tuning based framework for smart contract vulnerability detection,
L. Yu, J. Lu, X. Liu, L. Yang, F. Zhang, J. Ma, · 2023
Cited alongside, same era.
When chatgpt meets smart contract vulnerability detection: How far are we?,
C. Chen, J. Su, J. Chen, Y. Wang, T. Bi, Y. Wang, X. Lin, T. Chen, Z. Zheng, · 2023
Cited alongside, same era.
A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,
Y. Yao, J. Duan, K. Xu, Y. Cai, Z. Sun, Y. Zhang, · 2024
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Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,
J. Liu, C. S. Xia, Y. Wang, L. Zhang, · 2024
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Rapid adoption, hidden risks: The dual impact of large language model customization,
R. Zhang, H. Li, R. Wen, W. Jiang, Y. Zhang, M. Backes, Y. Shen, Y. Zhang, · 2024
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Large language models in cybersecurity: State-of-the-art,
F. N. Motlagh, M. Hajizadeh, M. Majd, P. Najafi, F. Cheng, C. Meinel, · 2024
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Gptscan: Detecting logic vulnerabilities in smart contracts by combining gpt with program analysis,
Y. Sun, D. Wu, Y. Xue, H. Liu, H. Wang, Z. Xu, X. Xie, Y. Liu, · 2024
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Beavertails: Towards improved safety alignment of llm via a human-preference dataset,
J. Ji, M. Liu, J. Dai, X. Pan, C. Zhang, C. Bian, B. Chen, R. Sun, Y. Wang, Y. Yang, · 2024
Closest in time.
Machine learning for blockchain data analysis: Progress and opportunities,
P. Azad, C. G. Akcora, A. Khan, · 2024
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Large language models for cyber security: A systematic literature review,
H. Xu, S. Wang, N. Li, Y. Zhao, K. Chen, K. Wang, Y. Liu, T. Yu, H. Wang, · 2024
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Generative ai-enabled blockchain networks: Fundamentals, applications, and case study,
C. T. Nguyen, Y. Liu, H. Du, D. T. Hoang, D. Niyato, D. N. Nguyen, S. Mao, · 2024
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Integrating llm with blockchain and ipfs to enhance academic diploma integrity,
J. G. M. Mboma, K. Lusala, M. Matalatala, O. T. Tshipata, P. S. Nzakuna, D. T. Kazumba, · 2024
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Smartinv: Multimodal learning for smart contract invariant inference,
S. J. Wang, K. Pei, J. Yang, · 2024
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Contractarmor: Attack surface generator for smart contracts,
F. Ö. Sönmez, W. J. Knottenbelt, · 2024
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Identifying and fixing vulnerable patterns in ethereum smart contracts: A comparative study of fine-tuning and prompt engineering using large language models,
M. ORTU, G. Ibba, C. Conversano, R. Tonelli, G. Destefanis, · 2024
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Llm4vuln: A unified evaluation framework for decoupling and enhancing llms’ vulnerability reasoning,
Y. Sun, D. Wu, Y. Xue, H. Liu, W. Ma, L. Zhang, M. Shi, Y. Liu, · 2024
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W. Ma, D. Wu, Y. Sun, T. Wang, S. Liu, J. Zhang, Y. Xue, Y. Liu, · 2024
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Auditgpt: Auditing smart contracts with chatgpt,
S. Xia, S. Shao, M. He, T. Yu, L. Song, Y. Zhang, · 2024
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Y. Liu, Y. Xue, D. Wu, Y. Sun, Y. Li, M. Shi, Y. Liu, · 2024
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Defialigner: Leveraging symbolic analysis and large language models for inconsistency detection in decentralized finance,
R. Gan, L. Zhou, L. Wang, K. Qin, X. Lin, · 2024
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Repairbench: Leaderboard of frontier models for program repair,
A. Silva, M. Monperrus, · 2024
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Llm-smartaudit: Advanced smart contract vulnerability detection,
Z. Wei, J. Sun, Z. Zhang, X. Zhang, · 2024
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Hyperion: Unveiling dapp inconsistencies using llm and dataflow-guided symbolic execution.,
S. Yang, X. Lin, J. Chen, Q. Zhong, L. Xiao, R. Huang, Y. Wang, Z. Zheng, · 2024
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Advscanner: Generating adversarial smart contracts to exploit reentrancy vulnerabilities using llm and static analysis,
Y. Wu, X. Xie, C. Peng, D. Liu, H. Wu, M. Fan, T. Liu, H. Wang, · 2024
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Unearthing gas-wasting code smells in smart contracts with large language models,
J. Jiang, Z. Li, H. Qin, M. Jiang, X. Luo, X. Wu, H. Wang, Y. Tang, C. Qian, T. Chen, · 2024
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Highguard: Cross-chain business logic monitoring of smart contracts,
M. Eshghie, C. Artho, H. Stammler, W. Ahrendt, T. Hildebrandt, G. Schneider, · 2024
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Zipzap: Efficient training of language models for large-scale fraud detection on blockchain,
S. Hu, T. Huang, K.-H. Chow, W. Wei, Y. Wu, L. Liu, · 2024
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Llm4fuzz: Guided fuzzing of smart contracts with large language models,
C. Shou, J. Liu, D. Lu, K. Sen, · 2024
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L. Zhang, K. Li, K. Sun, D. Wu, Y. Liu, H. Tian, Y. Liu, · 2024
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Evaluation of chatgpt’s smart contract auditing capabilities based on chain of thought,
Y. Du, X. Tang, · 2024
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Automatic smart contract comment generation via large language models and in-context learning,
J. Zhao, X. Chen, G. Yang, Y. Shen, · 2024
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Extracting norms from contracts via chatgpt: Opportunities and challenges,
A. Haque, M. P. Singh, · 2024
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Decentralised governance for foundation model based ai systems: Exploring the role of blockchain in responsible ai,
Y. Liu, Q. Lu, L. Zhu, H.-Y. Paik, · 2024
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Classifying proposals of decentralized autonomous organizations using large language models,
C. Ziegler, M. Miranda, G. Cao, G. Arentoft, D. W. Nam, · 2024
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Enhancing zero-shot crypto sentiment with fine-tuned language model and prompt engineering,
R. S. Wahidur, I. Tashdeed, M. Kaur, H.-N. Lee, · 2024
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Teaching machines to code: Smart contract translation with llms,
R. Karanjai, L. Xu, W. Shi, · 2024
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Basedai: A decentralized p2p network for zero knowledge large language models (zk-llms),
S. Wellington, · 2024
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Nurgle: Exacerbating resource consumption in blockchain state storage via mpt manipulation,
Z. He, Z. Li, A. Qiao, X. Luo, X. Zhang, T. Chen, S. Song, D. Liu, W. Niu, · 2024
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Scvhunter: Smart contract vulnerability detection based on heterogeneous graph attention network,
F. Luo, R. Luo, T. Chen, A. Qiao, Z. He, S. Song, Y. Jiang, S. Li, · 2024
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Smart contract and defi security tools: Do they meet the needs of practitioners?,
S. Chaliasos, M. A. Charalambous, L. Zhou, R. Galanopoulou, A. Gervais, D. Mitropoulos, B. Livshits, · 2024
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Are we there yet? unraveling the state-of-the-art smart contract fuzzers,
S. Wu, Z. Li, L. Yan, W. Chen, M. Jiang, C. Wang, X. Luo, H. Zhou, · 2024
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Sóley: Automated detection of logic vulnerabilities in ethereum smart contracts using large language models,
M. Soud, W. Nuutinen, G. Liebel, · 2025
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Adversarial generation method for smart contract fuzz testing seeds guided by chain-based llm,
J. Sun, Z. Yin, H. Zhang, X. Chen, W. Zheng, · 2025
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Smart contract engineering,
K. Hu, J. Zhu, Y. Ding, X. Bai, J. Huang, · 2042
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Smart contract development: Challenges and opportunities,
W. Zou, D. Lo, P. S. Kochhar, X.-B. D. Le, X. Xia, Y. Feng, Z. Chen, B. Xu, · 2084
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