Nitin Agrawal

Nitin Agrawal

Doctoral Student

Student, Wolfson College

E: nitin.agrawal@cs.ox.ac.uk

S: LinkedIn

Wolfson Building, Parks Road, Oxford OX1 3QD

Themes:

• Artificial Intelligence and Machine Learning
• Human Centered Computing

See Also:

• Google Scholar
• Personal Homepage

Biography

Nitin is a doctoral student in Computer Science. He had started as a Masters' student at Oxford on Commonwealth scholarship after graduating from the B.Tech program in Information Technology & Mathematical Innovations based at Cluster Innovation Centre, University of Delhi. Nitin's area of research involves machine learning for sensitive datasets with a special interest in healthcare technologies and quantified-self data.

Prior to joining Oxford as a graduate student, Nitin has interned and collaborated on research projects with IBM Research, Dalhousie University, Indian Institute of Technology Bombay and, Defence Research & Development Organization, Ministry of Defence, India 

Nitin is currently interning at the Alan Turing Insitute for the summer of 2018. He is working on developing strategies for privacy-aware neural network based classification and training.

Selected Publications

View AllManage publications

• 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.

  Details about QUOTIENT: Two−Party Secure Neural Network Training and Prediction | BibTeX data for QUOTIENT: Two−Party Secure Neural Network Training and Prediction

• 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.

  Details about Iris recognition based on sparse representation and k−nearest subspace with genetic algorithm | BibTeX data for Iris recognition based on sparse representation and k−nearest subspace with genetic algorithm

• 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.

  Details about Fast & Dynamic Image Restoration using Laplace equation Based Image Inpainting | BibTeX data for Fast & Dynamic Image Restoration using Laplace equation Based Image Inpainting

Projects

• EWADA

Supervisor