Defense against adversarial attacks on deep learning in computer vision

Status	Finished
Effective start/end date	1/01/19 → 31/12/21

Access Project

Transferable 3D Adversarial Textures using End-to-end Optimization
Pestana Cardeno, C., Akhtar, N., Rahnavard, N., Shah, M. & Mian, A., 2022, IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE, Institute of Electrical and Electronics Engineers
Research output: Chapter in Book/Conference paper › Conference paper › peer-review
Adversarial Attacks and Defense on Deep Learning Classification Models using YC_bC_rColor Images
Pestana, C., Akhtar, N., Liu, W., Glance, D. & Mian, A., 18 Jul 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).
Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Open Access
File
4 Downloads (Pure)
Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation
Ibrahim, M., Akhtar, N., Wise, M. & Mian, A., 2021, In: IEEE Access. 9, p. 35984-35996 13 p., 9363898.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Citations (Scopus)