APA
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Zhou, X., & Verma, R. M. (2022). Software Vulnerability Detection via Multimodal Deep Learning. In G. Lenzini & W. Meng (Eds.), Security and Trust Management - 18th International Workshop, {STM} 2022, Copenhagen, Denmark, September 29, 2022, Proceedings (Vol. 13867, pp. 85–103). Springer.
Chicago/Turabian
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Zhou, Xin, and Rakesh M. Verma. “Software Vulnerability Detection via Multimodal Deep Learning.” In Security and Trust Management - 18th International Workshop, {STM} 2022, Copenhagen, Denmark, September 29, 2022, Proceedings, edited by Gabriele Lenzini and Weizhi Meng, 13867:85–103. Lecture Notes in Computer Science. Springer, 2022.
MLA
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Zhou, Xin, and Rakesh M. Verma. “Software Vulnerability Detection via Multimodal Deep Learning.” Security and Trust Management - 18th International Workshop, {STM} 2022, Copenhagen, Denmark, September 29, 2022, Proceedings, edited by Gabriele Lenzini and Weizhi Meng, vol. 13867, Springer, 2022, pp. 85–103.
BibTeX
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@inproceedings{zhou2022a,
title = {Software Vulnerability Detection via Multimodal Deep Learning},
year = {2022},
pages = {85--103},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {13867},
author = {Zhou, Xin and Verma, Rakesh M.},
editor = {Lenzini, Gabriele and Meng, Weizhi},
booktitle = {Security and Trust Management - 18th International Workshop, {STM} 2022, Copenhagen, Denmark, September 29, 2022, Proceedings}
}