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2022

Karim, Nazmul; Rizve, Mamshad Nayeem; Rahnavard, Nazanin; Mian, Ajmal; Shah, Mubarak

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Inproceedings

In: on Computer Vision, IEEE Conference; (CVPR'22), Pattern Recognition (Ed.): 2022.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

Karim, Nazmul; Khalid, Umar; Esmaeili, Ashkan; Rahnavard, Nazanin

CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Inproceedings

In: Vision, IEEE Computer; (CVPRW'22), Pattern Recognition Workshops (Ed.): 2022.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

Khalid, Umar; Esmaeili, Ashkan; Karim, Nazmul; Rahnavard, Nazanin

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Conference

2022.

Links | BibTeX | Tags: AI Security, Deep Learning, Deep Learning Theory

2021

Edraki, Marzieh; Nazmul Karim, Rahnavard; Mian, Ajmal; Shah, Mubarak

Odyssey: Creation, Analysis and Detection of Trojan Models Journal Article

In: IEEE Trans. on Information Forensics and Security, 2021.

Links | BibTeX | Tags: AI Security, Deep Learning

Zhang, X.; Gupta, R.; Mian, A.; Rahnavard, N.; Shah, M.

Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Journal Article

In: IEEE Access, vol. 9, pp. 135856-135867, 2021.

Links | BibTeX | Tags: AI Security, Deep Learning

Zaeemzadeh, Alireza; Bisagno, N; Conci, N.; Rahnavard, Nazanin; Shah, Mubarak

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces Conference

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'21). 2021.

Links | BibTeX | Tags: AI Security, Deep Learning