APA-Zitierstil (7. Ausg.)

Gibert, D., Zizzo, G., & Le, Q. (2023). Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing.

Chicago-Zitierstil (17. Ausg.)

Gibert, Daniel, Giulio Zizzo, und Quan Le. Towards a Practical Defense Against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. 2023.

MLA-Zitierstil (9. Ausg.)

Gibert, Daniel, et al. Towards a Practical Defense Against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. 2023.