Defense against adversarial attacks on deep learning in computer vision

Mian, Ajmal (Chief Investigator)

School of Physics, Mathematics and Computing

Status	Finished
Effective start/end date	1/01/19 → 31/12/22

Funding

Australian Research Council: A$142,000.00
Australian Research Council: A$137,000.00
Australian Research Council: A$147,000.00

Access Project

http://purl.org/au-research/grants/arc/DP190102443

14 Conference paper
10 Article
1 Review article

Language Model Agnostic Gray-Box Adversarial Attack on Image Captioning
Aafaq, N., Akhtar, N., Liu, W., Shah, M. & Mian, A., 2023, In: IEEE Transactions on Information Forensics and Security. 18, p. 626-638 13 p.
Research output: Contribution to journal › Article › peer-review
Attack to Fool and Explain Deep Networks
Akhtar, N., Jalwana, M., Bennamoun, M. & Mian, A. S., 1 Oct 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 10, p. 5980-5995 16 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video
Zahan, S., Hassan, G. M. & Mian, A., 10 Nov 2022, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-9 9 p.
Research output: Contribution to journal › Article › peer-review