{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T08:08:20Z","timestamp":1774512500745,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,2,11]]},"DOI":"10.1145\/3793638.3793639","type":"proceedings-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T05:41:38Z","timestamp":1774503698000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Transformers to Discover Software Vulnerabilities based on Source Code Slices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6014-1356","authenticated-orcid":false,"given":"Abdur Rehman","family":"Khan","sequence":"first","affiliation":[{"name":"School of Computer Science, Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1137-0272","authenticated-orcid":false,"given":"Yue","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3594-8980","authenticated-orcid":false,"given":"Yuefeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,3,25]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASEW52652.2021.00028"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"Cho\u00a0Xuan Do Nguyen\u00a0Trong Luu and Phuong Thi\u00a0Lan Nguyen. 2024. Optimizing software vulnerability detection using RoBERTa and machine learning. Automated Software Engineering 31 2 (2024) 40. 10.1007\/s10515-024-00323-9","DOI":"10.1007\/s10515-024-00323-9"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Yukun Dong Yeer Tang Xiaotong Cheng Yufei Yang and Shuqi Wang. 2023. SedSVD: Statement-level software vulnerability detection based on Relational Graph Convolutional Network with subgraph embedding. Information and Software Technology 158 (2023) 107168. 10.1016\/j.infsof.2023.107168","DOI":"10.1016\/j.infsof.2023.107168"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng Ming Gong Linjun Shou Bing Qin Ting Liu Daxin Jiang and Ming Zhou. 2020. CodeBERT: A Pre-Trained Model for Programming and Natural Languages. (2020). arxiv:https:\/\/arXiv.org\/abs\/2002.08155\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2002.08155","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","unstructured":"Michael Fu Chakkrit Tantithamthavorn Trung Le Yuki Kume Van Nguyen Dinh Phung and John Grundy. 2023. AIBugHunter: A Practical tool for predicting classifying and repairing software vulnerabilities. Empirical Software Engineering 29 1 (2023) 4. 10.1007\/s10664-023-10346-3","DOI":"10.1007\/s10664-023-10346-3"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3540250.3549098"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19211-1_11"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Ding Li Yan Liu and Jun Huang. 2024. Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI. Machine Learning and Knowledge Extraction 6 2 (2024) 1087\u20131113. 10.3390\/make6020050","DOI":"10.3390\/make6020050"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Ding Li Yan Liu Jun Huang and Zerui Wang. 2023. A trustworthy view on explainable artificial intelligence method evaluation. Computer 56 4 (2023) 50\u201360.","DOI":"10.1109\/MC.2022.3233806"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","unstructured":"Zhen Li Deqing Zou Shouhuai Xu Hai Jin Yawei Zhu and Zhaoxuan Chen. 2022. SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. IEEE Transactions on Dependable and Secure Computing 19 4 (2022) 2244\u20132258. 10.1109\/TDSC.2021.3051525","DOI":"10.1109\/TDSC.2021.3051525"},{"key":"e_1_3_3_2_12_2","volume-title":"Common Vulnerabilities and Exposures (CVE)","author":"Corporation MITRE","year":"2025","unstructured":"MITRE Corporation. 2025. Common Vulnerabilities and Exposures (CVE). MITRE Corporation. https:\/\/www.cve.org\/ Accessed: 2025-11-07."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Yue Wang Hung Le Akhilesh\u00a0Deepak Gotmare Nghi D.\u00a0Q. Bui Junnan Li and Steven C.\u00a0H. Hoi. 2023. CodeT5+: Open Code Large Language Models for Code Understanding and Generation. (2023). arxiv:https:\/\/arXiv.org\/abs\/2305.07922\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2305.07922","DOI":"10.18653\/v1\/2023.emnlp-main.68"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","unstructured":"Bolun Wu Futai Zou Ping Yi Yue Wu and Liang Zhang. 2023. SlicedLocator: Code vulnerability locator based on sliced dependence graph. Computers & Security 134 (2023) 103469. 10.1016\/j.cose.2023.103469","DOI":"10.1016\/j.cose.2023.103469"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/IBF50092.2020.9034888"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Deqing Zou Sujuan Wang Shouhuai Xu Zhen Li and Hai Jin. 2021. \u03bc VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. IEEE Transactions on Dependable and Secure Computing 18 05 (Sept. 2021) 2224\u20132236. 10.1109\/TDSC.2019.2942930","DOI":"10.1109\/TDSC.2019.2942930"}],"event":{"name":"AISC '26: Australasian Information Security Conference","location":"Melbourne VIC Australia","acronym":"AISC '26"},"container-title":["Proceedings of the 2026 Australasian Information Security Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3793638.3793639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T06:33:53Z","timestamp":1774506833000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3793638.3793639"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,11]]},"references-count":15,"alternative-id":["10.1145\/3793638.3793639","10.1145\/3793638"],"URL":"https:\/\/doi.org\/10.1145\/3793638.3793639","relation":{},"subject":[],"published":{"date-parts":[[2026,2,11]]},"assertion":[{"value":"2026-03-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}