| Tensorflow: a system for large-scale machine learning. M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Osdi 16 (2016), 265-283, 2016 | 45966* | 2016 |
| Deep learning with differential privacy M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov, K Talwar, L Zhang Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016 | 4280 | 2016 |
| Mechanism design via differential privacy F McSherry, K Talwar 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 94-103, 2007 | 2496 | 2007 |
| Quincy: fair scheduling for distributed computing clusters M Isard, V Prabhakaran, J Currey, U Wieder, K Talwar, A Goldberg Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009 | 1175 | 2009 |
| Learning differentially private recurrent language models HB McMahan, D Ramage, K Talwar, L Zhang arXiv preprint arXiv:1710.06963, 2017 | 1014* | 2017 |
| A tight bound on approximating arbitrary metrics by tree metrics J Fakcharoenphol, S Rao, K Talwar Proceedings of the thirty-fifth annual ACM symposium on Theory of computing …, 2003 | 964 | 2003 |
| Semi-supervised knowledge transfer for deep learning from private training data N Papernot, M Abadi, U Erlingsson, I Goodfellow, K Talwar arXiv preprint arXiv:1610.05755, 2016 | 875 | 2016 |
| The complexity of pure Nash equilibria A Fabrikant, C Papadimitriou, K Talwar Proceedings of the thirty-sixth annual ACM symposium on Theory of computing …, 2004 | 816 | 2004 |
| Adversarially robust generalization requires more data L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry Advances in neural information processing systems 31, 2018 | 678 | 2018 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 652 | 2015 |
| Detecting format string vulnerabilities with type qualifiers. U Shankar, K Talwar, JS Foster, DA Wagner USENIX Security Symposium, 201-220, 2001 | 627 | 2001 |
| Privacy, accuracy, and consistency too: a holistic solution to contingency table release B Barak, K Chaudhuri, C Dwork, S Kale, F McSherry, K Talwar Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on …, 2007 | 560 | 2007 |
| Scalable private learning with pate N Papernot, S Song, I Mironov, A Raghunathan, K Talwar, Ú Erlingsson arXiv preprint arXiv:1802.08908, 2018 | 509 | 2018 |
| On the geometry of differential privacy M Hardt, K Talwar Proceedings of the forty-second ACM symposium on Theory of computing, 705-714, 2010 | 425 | 2010 |
| TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.(2015). hp M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... tensor ow. org/So ware available from tensor ow. org, 2015 | 340 | 2015 |
| Amplification by shuffling: From local to central differential privacy via anonymity Ú Erlingsson, V Feldman, I Mironov, A Raghunathan, K Talwar, ... Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 336 | 2019 |
| An approximate truthful mechanism for combinatorial auctions with single parameter agents A Archer, C Papadimitriou, K Talwar, É Tardos Internet Mathematics 1 (2), 129-150, 2004 | 308 | 2004 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 14, 2016 | 305 | 2016 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 278 | 2015 |
| Analyze gauss: optimal bounds for privacy-preserving principal component analysis C Dwork, K Talwar, A Thakurta, L Zhang Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014 | 266 | 2014 |
Li ZhangMicrosoftGeverifieerd e-mailadres voor microsoft.com
