Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Li, X., Hu, Z., Wang, H., Fu, Y., Chen, P., Zhu, M., & Liu, P. (2020). Deep Return: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. Journal of Computer Security, 28(5), 499-523. https://doi.org/10.3233/JCS-191368

ISO-690 (author-date, English)

LI, Xusheng, HU, Zhisheng, WANG, Haizhou, FU, Yiwei, CHEN, Ping, ZHU, Minghui und LIU, Peng, 2020. Deep Return: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. Journal of Computer Security. 1 September 2020. Vol. 28, no. 5, p. 499-523. DOI 10.3233/JCS-191368.

Modern Language Association 9th edition

Li, X., Z. Hu, H. Wang, Y. Fu, P. Chen, M. Zhu, und P. Liu. „Deep Return: A Deep Neural Network Can Learn How to Detect Previously-Unseen ROP Payloads Without Using Any Heuristics.“. Journal of Computer Security, Bd. 28, Nr. 5, September 2020, S. 499-23, https://doi.org/10.3233/JCS-191368.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Xusheng/Hu, Zhisheng/Wang, Haizhou/Fu, Yiwei/Chen, Ping/Zhu, Minghui u. a.: Deep Return: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics., Journal of Computer Security 2020, 499-523.

Emerald - Harvard

Li, X., Hu, Z., Wang, H., Fu, Y., Chen, P., Zhu, M. und Liu, P. (2020), „Deep Return: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.“, Journal of Computer Security, Vol. 28 No. 5, S. 499-523.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.