Free Lunch for Privacy Preserving Distributed Graph Learning. - Nimesh Agrawal; Nikita Malik; Sandeep Kumar (CoRR, 2023)

Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness. - Farzaneh Dehghani; Nikita Malik; Joanna Lin; Sayeh Bayat; Mariana P. Bento (SIPAIM, 2024)

Fractional cross entropy-based loss function for classification of IoT services with semantic graph based on IFTTT recipes. - Nikita Malik; Sanjay Kumar Malik (Signal Image Video Process., 2024)

HyperDefender: A Robust Framework for Hyperbolic GNNs. - Nikita Malik; Rahul Gupta; Sandeep Kumar (AAAI, 2025)

FaAlGrad: Fairness through Alignment of Gradients across Different Subpopulations. - Nikita Malik; Konda Reddy Mopuri (Trans. Mach. Learn. Res., 2025)

GraphFLEx: Structure Learning Framework for Large Expanding Graphs. - Mohit Kataria; Nikita Malik; Sandeep Kumar 005; Jayadeva (CoRR, 2025)

Interpretability-Aware Pruning for Efficient Medical Image Analysis. - Nikita Malik; Pratinav Seth; Neeraj Kumar Singh; Chintan Chitroda; Vinay Kumar Sankarapu (CoRR, 2025)