Improving the transferability of adversarial examples via the high-level interpretable features for object detection.
J. Supercomput., April, 2025
Towards targeted and universal adversarial attacks against network traffic classification.
Comput. Secur., 2025
Adversarial example generation for object detection using a data augmentation framework and momentum.
Signal Image Video Process., April, 2024
Towards universal and transferable adversarial attacks against network traffic classification.
Comput. Networks, 2024
Location-independent adversarial patch generation for object detection.
J. Electronic Imaging, 2023
Demo: A Network Simulator for 5G Virtualized Networks.
Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022