Graph Neural Networks for Vulnerability Detection: A Counterfactual
Explanation

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Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

24 April 2024

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Papers citing "Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation"

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Title
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation David Egea Barproda Halder Sanghamitra Dutta AAML 125 1 0 26 Aug 2025
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees Xiaoyu Li Guangyu Tang Jiaojiao Jiang 116 1 0 13 Aug 2025
Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors Wencheng Zou Nan Wu AAML 125 0 0 24 Jul 2025
CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale Chenlong Wang Zhaoyang Chu Zhengxiang Cheng Xuyi Yang Kaiyue Qiu Yao Wan Zhou Zhao Xuanhua Shi Benlin Liu ALM SyDa 309 3 0 23 Feb 2025
Can Large Language Models Understand Intermediate Representations in Compilers? Hailong Jiang Jianfeng Zhu Yao Wan B. Fang Hongyu Zhang Hailong Jiang Qiang Guan 352 1 0 07 Feb 2025
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 266 20 0 23 Aug 2024
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics Thu-Trang Nguyen Thanh Trong Vu H. Vo Son Nguyen ELM 203 9 0 04 Jul 2024