Ebrahimi, R., Chai, Y., Li, W., Pacheco, J. und Chen, H. (2025) „RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING.“, MIS Quarterly, 49(4), S. 1385-1416. doi:10.25300/misq/2024/17339.
Chicago Manual of Style 17th edition (full note)Ebrahimi, Reza, Yidong Chai, Weifeng Li, Jason Pacheco, und Hsinchun Chen. „RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING.“. MIS Quarterly 49, Nr. 4 (1. Dezember 2025): 1385-1416. https://doi.org/10.25300/misq/2024/17339.
American Psychological Association 7th editionEbrahimi, R., Chai, Y., Li, W., Pacheco, J., & Chen, H. (2025). RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING. MIS Quarterly, 49(4), 1385-1416. https://doi.org/10.25300/misq/2024/17339
Modern Language Association 9th editionEbrahimi, R., Y. Chai, W. Li, J. Pacheco, und H. Chen. „RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING.“. MIS Quarterly, Bd. 49, Nr. 4, Dezember 2025, S. 1385-16, https://doi.org/10.25300/misq/2024/17339.
ISO-690 (author-date, Deutsch)EBRAHIMI, Reza, Yidong CHAI, Weifeng LI, Jason PACHECO und Hsinchun CHEN, 2025. RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING. MIS Quarterly. 1 Dezember 2025. Bd. 49, Nr. 4, S. 1385-1416. DOI 10.25300/misq/2024/17339