Navid Kardan

According to our database, Navid Kardan authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dual Student Networks for Data-Free Model Stealing.

James Beetham, Navid Kardan, Ajmal Saeed Mian, Mubarak Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CDFSL-V: Cross-Domain Few-Shot Learning for Videos.

Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Detecting Compromised Architecture/Weights of a Deep Model.

James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Joint Supervised Learning.

Navid Kardan, Mubarak Shah, Mitch Hill

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Realistic Semi-supervised Learning.

Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2022, 2022

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning.

Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II.

Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah

CoRR, 2021

Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey.

Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah

IEEE Access, 2021

Towards Consistent Predictive Confidence through Fitted Ensembles.

Navid Kardan, Ankit Sharma, Kenneth O. Stanley

Proceedings of the International Joint Conference on Neural Networks, 2021

2017

Mitigating fooling with competitive overcomplete output layer neural networks.

Navid Kardan, Kenneth O. Stanley

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Fitted Learning: Models with Awareness of their Limits.

Navid Kardan, Kenneth O. Stanley

CoRR, 2016