Advances in adversarial attacks and defenses in computer vision: A survey N Akhtar, A Mian, N Kardan, M Shah IEEE Access 9, 155161-155196, 2021 | 197 | 2021 |
Openldn: Learning to discover novel classes for open-world semi-supervised learning MN Rizve, N Kardan, S Khan, F Shahbaz Khan, M Shah European Conference on Computer Vision, 382-401, 2022 | 44 | 2022 |
Mitigating fooling with competitive overcomplete output layer neural networks N Kardan, KO Stanley 2017 International Joint Conference on Neural Networks (IJCNN), 518-525, 2017 | 41 | 2017 |
Towards realistic semi-supervised learning MN Rizve, N Kardan, M Shah European Conference on Computer Vision, 437-455, 2022 | 36 | 2022 |
Fitted learning: Models with awareness of their limits N Kardan, KO Stanley arXiv preprint arXiv:1609.02226, 2016 | 17 | 2016 |
Towards consistent predictive confidence through fitted ensembles N Kardan, A Sharma, KO Stanley 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 9 | 2021 |
CDFSL-V: Cross-Domain Few-Shot Learning for Videos S Samarasinghe, MN Rizve, N Kardan, M Shah Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
Self-Joint Supervised Learning N Kardan, M Shah, M Hill International Conference on Learning Representations, 2021 | 4 | 2021 |
Dual Student Networks for Data-Free Model Stealing J Beetham, N Kardan, AS Mian, M Shah The Eleventh International Conference on Learning Representations, 2022 | 3 | 2022 |
Detecting Compromised Architecture/Weights of a Deep Model J Beetham, N Kardan, A Mian, M Shah 2022 26th International Conference on Pattern Recognition (ICPR), 2843-2849, 2022 | 1 | 2022 |
A Novel Fuzzy Rule-Based Classification System Based on Classifier Selection Strategy N Kardan, B Minaei-Bidgoli 2009 International Conference on Computational Intelligence and Software …, 2009 | 1 | 2009 |
Self-Supervision is Not All You Need: In Defense of Semi-Supervised Learning R Gupta, MN Rizve, S Sirnam, N Kardan, M Shah | | 2023 |
Towards More Reliable Neural Network Learning Models N Kardan | | 2019 |
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning (Supplementary Material) MN Rizve, N Kardan, S Khan, F Shahbaz | | |
Towards Realistic Semi-Supervised Learning Supplementary Materials MN Rizve, N Kardan, M Shah | | |