| QUOTIENT: Two-Party Secure Neural Network Training and Prediction N Agrawal, AS Shamsabadi, MJ Kusner, A Gascón ACM Conference on Computer and Communications Security (CCS), 2019 | 215 | 2019 |
| Iris recognition based on sparse representation and k-nearest subspace with genetic algorithm AK Bhateja, S Sharma, S Chaudhury, N Agrawal Pattern Recognition Letters 73, 13-18, 2016 | 56 | 2016 |
| Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation N Agrawal, R Binns, M Van Kleek, K Laine, N Shadbolt Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021 | 42 | 2021 |
| Parallel multi-objective multi-robot coalition formation M Agarwal, N Agrawal, S Sharma, L Vig, N Kumar Expert Systems with Applications 42 (21), 7797–7811, 2015 | 32 | 2015 |
| Chloroplast genes as genetic markers for inferring patterns of change, maternal ancestry and phylogenetic relationships among Eleusine species R Agrawal, N Agrawal, R Tandon, SN Raina AoB Plants 6, 2014 | 20 | 2014 |
| A Graph Based Ranking Strategy for Automated Text Summarization N Agrawal, S Sharma, P Sinha, S Bagai DU Journal of Undergraduate Research and Innovation 1 (1), 2015 | 7 | 2015 |
| Fast & Dynamic Image Restoration using Laplace equation Based Image Inpainting N Agrawal, P Sinha, A Kumar, S Bagai | 4 | 2015 |
| MPC-Friendly Commitments for Publicly Verifiable Covert Security N Agrawal, J Bell, A Gascón, MJ Kusner Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 3 | 2021 |
| Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores R Zhao, N Goel, N Agrawal, J Zhao, J Stein, R Verborgh, R Binns, ... | 2 | 2023 |
| Certified Predictions using MPC-Friendly Publicly Verifiable Covertly Secure Commitments N Agrawal, J Bell, A Gascón, M Kusner NeurIPS 2021 Workshop Privacy in Machine Learning, 2021 | | 2021 |
| Towards effective, efficient and equitable privacy-preserving machine learning N Agrawal University of Oxford, 2021 | | 2021 |
| Synthesis of Time Series Physiological Data from Wearables using Deep Networks N Agrawal, M Van Kleek, N Shadbolt HSYS Workshop, 37th International Conference on Machine Learning., 2020 | | 2020 |
| GPU accelerated B-spline coefficient Computation N Agrawal, D Gawali, P Nataraj S. V. GPU Technology Conference 2015, 2015 | | 2015 |
| Parallel Multi-objective Multi-robot Coalition Formation N Agrawal, S Sharma, M Agarwal GPU Technology Conference, 2014 | | 2014 |
Adrià GascónGoogle ResearchVerified email at google.com
