Nitin is a postdoctoral researcher associated with the EWADA project. Previously, Nitin was a doctoral student in the department. He started at Oxford as a Masters student on Commonwealth scholarship after graduating from the B.Tech program in Information Technology & Mathematical Innovations based at Cluster Innovation Centre, University of Delhi.
His area of research involves privacy aware machine learning with a special interest in healthcare technologies and quantified-self data. He works on designing privacy-preserving and equitable data driven inference and training architectures, primarily employing Secure Multi-Party Computation protocols, Homomorphic Encryption & Differential Privacy.
QUOTIENT: Two−Party Secure Neural Network Training and Prediction
Nitin Agrawal‚ Ali Shahin Shamsabadi‚ Matt J Kusner and Adrià Gascón
In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security. Pages 1231–1247. ACM. 2019.
Iris recognition based on sparse representation and k−nearest subspace with genetic algorithm
Ashok K Bhateja‚ Shikhar Sharma‚ Santanu Chaudhury and Nitin Agrawal
In Pattern Recognition Letters. Vol. 73. Pages 13–18. 2016.
Fast & Dynamic Image Restoration using Laplace equation Based Image Inpainting
Nitin Agrawal‚ Prashant Sinha‚ Avnish Kumar and Shobha Bagai
In DU Journal of Undergraduate Research and Innovation. Vol. 1. No. 2. 2015.