| Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy R Gilad-Bachrach, N Dowlin, K Laine, K Lauter, M Naehrig, J Wernsing International conference on machine learning, 201-210, 2016 | 2130 | 2016 |
| Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012 | 800 | 2012 |
| Margin based feature selection-theory and algorithms R Gilad-Bachrach, A Navot, N Tishby Proceedings of the twenty-first international conference on Machine learning, 43, 2004 | 566 | 2004 |
| Full body gait analysis with Kinect M Gabel, R Gilad-Bachrach, E Renshaw, A Schuster 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 500 | 2012 |
| Margin analysis of the LVQ algorithm K Crammer, R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems 15, 2002 | 325 | 2002 |
| Dart: Dropouts meet multiple additive regression trees RK Vinayak, R Gilad-Bachrach Artificial Intelligence and Statistics, 489-497, 2015 | 301 | 2015 |
| Low latency privacy preserving inference A Brutzkus, R Gilad-Bachrach, O Elisha International Conference on Machine Learning, 812-821, 2019 | 266 | 2019 |
| Crypto-nets: Neural networks over encrypted data P Xie, M Bilenko, T Finley, R Gilad-Bachrach, K Lauter, M Naehrig arXiv preprint arXiv:1412.6181, 2014 | 221 | 2014 |
| Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces Y Bachrach, Y Finkelstein, R Gilad-Bachrach, L Katzir, N Koenigstein, ... Proceedings of the 8th ACM Conference on Recommender systems, 257-264, 2014 | 194 | 2014 |
| Logistic regression over encrypted data from fully homomorphic encryption H Chen, R Gilad-Bachrach, K Han, Z Huang, A Jalali, K Laine, K Lauter BMC medical genomics 11, 3-12, 2018 | 177 | 2018 |
| PopTherapy: Coping with stress through pop-culture P Paredes, R Gilad-Bachrach, M Czerwinski, A Roseway, K Rowan, ... Proceedings of the 8th international conference on pervasive computing …, 2014 | 162 | 2014 |
| Query by committee made real R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems 18, 2005 | 152 | 2005 |
| Manual for using homomorphic encryption for bioinformatics N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing Proceedings of the IEEE 105 (3), 552-567, 2017 | 149 | 2017 |
| Leveraging user signals for improved interactions with digital personal assistant LD Clark, DB Harrison, S Hendrich, D Gardner, S Malekzadeh, ... US Patent 9,807,559, 2017 | 145 | 2017 |
| An information theoretic tradeoff between complexity and accuracy R Gilad-Bachrach, A Navot, N Tishby Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003 | 128 | 2003 |
| Neural networks for encrypted data R Gilad-Bachrach, TW Finley, M Bilenko, P Xie US Patent 9,946,970, 2018 | 108 | 2018 |
| 3D gesture recognition R Gilad-Bachrach, D Lymberopoulos, IIGR DeJean, EAA REYES US Patent 9,552,069, 2017 | 96 | 2017 |
| Private collaborative neural network learning M Chase, R Gilad-Bachrach, K Laine, K Lauter, P Rindal Cryptology ePrint Archive, 2017 | 95 | 2017 |
| Emotionally intelligent systems MP Czerwinski, MN Lim, R Gilad-Bachrach, I Tashev, M Mitchell, ... US Patent App. 14/472,113, 2016 | 92 | 2016 |
| Predicting" about-to-eat" moments for just-in-time eating intervention T Rahman, M Czerwinski, R Gilad-Bachrach, P Johns Proceedings of the 6th International Conference on Digital Health Conference …, 2016 | 82 | 2016 |
Kristin E. LauterDirector of Research Science, North American Labs, Meta AI ResearchVerified email at meta.com
