| Protection against reconstruction and its applications in private federated learning A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers arXiv preprint arXiv:1812.00984, 2018 | 429 | 2018 |
| A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ... ACM SIGARCH Computer Architecture News 43 (3S), 41-53, 2015 | 131 | 2015 |
| Noiseless database privacy R Bhaskar, A Bhowmick, V Goyal, S Laxman, A Thakurta Advances in Cryptology–ASIACRYPT 2011: 17th International Conference on the …, 2011 | 117 | 2011 |
| Federated evaluation and tuning for on-device personalization: System design & applications M Paulik, M Seigel, H Mason, D Telaar, J Kluivers, R van Dalen, CW Lau, ... arXiv preprint arXiv:2102.08503, 2021 | 104 | 2021 |
| Privatized machine learning using generative adversarial networks A Bhowmick, AH Vyrros, RM Rogers US Patent App. 15/892,246, 2019 | 79 | 2019 |
| Bias vs structure of polynomials in large fields, and applications in information theory A Bhowmick, S Lovett arXiv preprint arXiv:1506.02047, 2015 | 36* | 2015 |
| The list decoding radius of Reed-Muller codes over small fields A Bhowmick, S Lovett Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015 | 35* | 2015 |
| New bounds for matching vector families A Bhowmick, Z Dvir, S Lovett Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013 | 33* | 2013 |
| Update efficient codes for distributed storage AS Rawat, S Vishwanath, A Bhowmick, E Soljanin 2011 IEEE International Symposium on Information Theory Proceedings, 1457-1461, 2011 | 33 | 2011 |
| The apple psi system A Bhowmick, D Boneh, S Myers, K Talwar, K Tarbe Apple, Inc., Tech. Rep, 2021 | 28 | 2021 |
| Nonclassical polynomials as a barrier to polynomial lower bounds A Bhowmick, S Lovett arXiv preprint arXiv:1412.4719, 2014 | 17 | 2014 |
| User experience using privatized crowdsourced data G Barraclough, C Dumez, A Bhowmick, AH Vyrros, US Vaishampayan US Patent 10,599,868, 2020 | 15 | 2020 |
| Protection against reconstruction and its applications in private federated learning. arXiv 2018 A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers arXiv preprint arXiv:1812.00984, 1812 | 15 | 1812 |
| Protection Against Reconstruction and Its Applications in Private Federated Learning. 2019 A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers arXiv preprint arXiv:1812.00984, 1812 | 13 | 1812 |
| Using higher-order Fourier analysis over general fields A Bhattacharyya, A Bhowmick arXiv preprint arXiv:1505.00619, 2015 | 12 | 2015 |
| Maintaining differential privacy for database query results M Chitnis, A Bhowmick, LO Winstrom, K Mancuhan, SD Fleischer US Patent 11,086,915, 2021 | 11 | 2021 |
| Protection against reconstruction and its applications in private federated learning. CoRR A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers arXiv preprint arXiv:1812.00984 1, 2018 | 11 | 2018 |
| A note on character sums in finite fields A Bhowmick, TH Lê, YR Liu Finite Fields and Their Applications 46, 247-254, 2017 | 11 | 2017 |
| Enabling Efficient Data Compression in GPUs N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, O Mutlu, C Das, ... ISCA, 2015 | 11 | 2015 |
| Differential privacy using a count mean sketch A Bhowmick, AH Vyrros, US Vaishampayan US Patent App. 15/805,591, 2018 | 10 | 2018 |
