Prashant Shekhar

According to our database, Prashant Shekhar authored at least 13 papers between 2016 and 2025.

Collaborative distances:

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

2025

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption.

Muhammad Ali Najjar, Ren-Yi Huang, Dumindu Samaraweera, Prashant Shekhar

CoRR, June, 2025

Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving.

Prashant Shekhar, Bidur Devkota, Dumindu Samaraweera, Laxima Niure Kandel, Manoj Babu

CoRR, February, 2025

Do Adversarial Patches Generalize? Attack Transferability Study Across Real-Time Segmentation Models in Autonomous Vehicles.

Prashant Shekhar, Bidur Devkota, Dumindu Samaraweera, Laxima Niure Kandel, Manoj Babu

Proceedings of the 2025 IEEE Security and Privacy, 2025

2023

Object Shape Error Modelling and Simulation During Early Design Phase by Morphing Gaussian Random Fields.

Manoj Babu, Pasquale Franciosa, Prashant Shekhar, Dariusz Ceglarek

Comput. Aided Des., May, 2023

2022

Machine learning based surrogate modeling with SVD enabled training for nonlinear civil structures subject to dynamic loading.

Siddharth S. Parida, Supratik Bose, Megan Butcher, Georgios Apostolakis, Prashant Shekhar

CoRR, 2022

2021

ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes.

Prashant Shekhar, Beáta Csathó, Tony Schenk, Carolyn Roberts, Abani K. Patra

IEEE Trans. Geosci. Remote. Sens., 2021

Quantisation of driving enablers enabling transition from traditional to flexible manufacturing system.

Prabhu Dubey, Prashant Chauhan, Prashant Shekhar, Prakhar Agarwal, Paras Sharma

Int. J. Manuf. Technol. Manag., 2021

A Forward Backward Greedy approach for Sparse Multiscale Learning.

Prashant Shekhar, Abani K. Patra

CoRR, 2021

2020

Hierarchical regularization networks for sparsification based learning on noisy datasets.

Prashant Shekhar, Abani K. Patra

CoRR, 2020

2019

Localized Hierarchical Approximations for Data Reduction and Learning.

Prashant Shekhar

PhD thesis, 2019

Hierarchical Data Reduction and Learning.

Prashant Shekhar, Abani K. Patra

CoRR, 2019

2017

Multiscale and Multiresolution methods for Sparse representation of Large datasets.

Prashant Shekhar, Abani K. Patra, Beáta M. Csathó

Proceedings of the International Conference on Computational Science, 2017

2016

Multilevel Methods for Sparse Representation of Topographical Data.

Abani K. Patra, Prashant Shekhar, E. Ramona Stefanescu

Proceedings of the International Conference on Computational Science 2016, 2016