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Learning to Detect Memory-related Vulnerabilities.

, , , , , , , , and . ACM Trans. Softw. Eng. Methodol., 33 (2): 43:1-43:35 (February 2024)

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GrasP: Graph-to-Sequence Learning for Automated Program Repair., , , , , and . QRS, page 819-828. IEEE, (2021)Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead., , , and . CoRR, (2024)BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection., , , , and . Inf. Softw. Technol., (2021)SPVF: security property assisted vulnerability fixing via attention-based models., , , , , , , and . Empir. Softw. Eng., 27 (7): 171 (2022)MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks., , , , , and . ICSE, page 1456-1468. ACM, (2022)Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems., , , , , , and . ICSE, page 155:1-155:13. ACM, (2024)ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing., , , , , , , , , and 2 other author(s). SP, page 2726-2743. IEEE, (2023)A comprehensive study on security bug characteristics., , , , , and . J. Softw. Evol. Process., (2021)Learning to Detect Memory-related Vulnerabilities., , , , , , , , and . ACM Trans. Softw. Eng. Methodol., 33 (2): 43:1-43:35 (February 2024)A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research., , , , , , , , , and 1 other author(s). CoRR, (2024)