Spread & Peak Prediction of Covid-19 using ANN and Regression (Workshop Paper). - Anupam Prakash; Piyush Sharma; Indrajeet Kumar Sinha; Upendra Pratap Singh (BigMM, 2020)

DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper). - Indrajeet Kumar Sinha; Krishna Pratap Singh; Shekhar Verma (BigMM, 2020)

MTFL: Multi-task Federated Learning for Classification of Healthcare X-Ray Images. - Priyush Kumar; Indrajeet Kumar Sinha; Krishna Pratap Singh (CVIP (2), 2022)

VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images. - Nikhil Ojha; Indrajeet Kumar Sinha; Krishna Pratap Singh (ICONIP (7), 2022)

FAM: fast adaptive meta-learning. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (CoRR, 2023)

Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (CoRR, 2023)

MDMFL: Monitored Defence Mechanism for Federated Learning against Data Poisoning Attack. - Indrajeet Kumar Sinha; Avadhoot Bangal; Krishna Pratap Singh; Shekhar Verma (ICCCNT, 2024)

Sliding Window Gradient Sign Attack. - Indrajeet Kumar Sinha; Naman Kapoor; Krishna Pratap Singh (TENCON, 2024)

FAM: Adaptive federated meta-learning for MRI data. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (Pattern Recognit. Lett., 2024)

Meta-DPSTL: meta learning-based differentially private self-taught learning. - Upendra Pratap Singh; Indrajeet Kumar Sinha; Krishna Pratap Singh; Shekhar Verma (Int. J. Mach. Learn. Cybern., 2024)