English(EN) ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment

新的ORACAL框架提升智能合约漏洞检测能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 04:00

研究人员开发了ORACAL，一个旨在增强智能合约漏洞检测能力的新型多模态框架。该框架整合了控制流图、数据流图和调用图等多种图表示，并通过LLM和RAG的安全上下文进行丰富。ORACAL利用因果注意力机制和PGExplainer实现透明度，在基准数据集上取得了最先进的性能，并证明了其对抗对抗性攻击的鲁棒性。 AI

影响通过提高漏洞检测的准确性和可解释性，增强了智能合约的安全审计。

排序理由该集群包含一篇详细介绍智能合约漏洞检测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍智能合约漏洞检测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Tran Duong Minh Dai, Triet Huynh Minh Le, M. Ali Babar, Van-Hau Pham, Phan The Duy · 2026-05-26 04:00

ORACAL：一种用于智能合约漏洞检测的鲁棒且可解释的多模态框架，并辅以因果图增强

arXiv:2603.28128v2 Announce Type: replace Abstract: Although Graph Neural Networks (GNNs) have shown promise for smart contract vulnerability detection, they still face significant limitations. Homogeneous graph models fail to capture the interplay between control flow and data d…

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报道来源 [1]

ORACAL：一种用于智能合约漏洞检测的鲁棒且可解释的多模态框架，并辅以因果图增强

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