| The composition theorem for differential privacy P Kairouz, S Oh, P Viswanath IEEE Transactions on Information Theory 63 (6), 4037-4049, 2017 | 149 | 2017 |
| Extremal mechanisms for local differential privacy P Kairouz, S Oh, P Viswanath Advances in neural information processing systems, 2879-2887, 2014 | 133 | 2014 |
| Discrete distribution estimation under local privacy P Kairouz, K Bonawitz, D Ramage arXiv preprint arXiv:1602.07387, 2016 | 76 | 2016 |
| The staircase mechanism in differential privacy Q Geng, P Kairouz, S Oh, P Viswanath IEEE Journal of Selected Topics in Signal Processing 9 (7), 1176-1184, 2015 | 58 | 2015 |
| Context-aware generative adversarial privacy C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal Entropy 19 (12), 656, 2017 | 43 | 2017 |
| Extremal mechanisms for local differential privacy P Kairouz, S Oh, P Viswanath The Journal of Machine Learning Research 17 (1), 492-542, 2016 | 42 | 2016 |
| Spy vs. spy: Rumor source obfuscation G Fanti, P Kairouz, S Oh, P Viswanath ACM SIGMETRICS Performance Evaluation Review 43 (1), 271-284, 2015 | 38 | 2015 |
| The composition theorem for differential privacy S Oh, P Viswanath arXiv preprint arXiv:1311.0776, 2013 | 28 | 2013 |
| Secure multi-party differential privacy P Kairouz, S Oh, P Viswanath Advances in neural information processing systems, 2008-2016, 2015 | 22 | 2015 |
| Hiding the rumor source G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath IEEE Transactions on Information Theory 63 (10), 6679-6713, 2017 | 19 | 2017 |
| Generative adversarial privacy C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal arXiv preprint arXiv:1807.05306, 2018 | 14 | 2018 |
| Rumor source obfuscation on irregular trees G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath ACM SIGMETRICS Performance Evaluation Review 44 (1), 153-164, 2016 | 12 | 2016 |
| Differentially private multi-party computation: Optimality of non-interactive randomized response P Kairouz, S Oh, P Viswanath arXiv preprint arXiv:1407.1546, 2014 | 11 | 2014 |
| A general approach to adding differential privacy to iterative training procedures HB McMahan, G Andrew arXiv preprint arXiv:1812.06210, 2018 | 7 | 2018 |
| Variable block length and superposition coding for hybrid automatic repeat request P Kairouz, AK Sadek, TA Kadous US Patent App. 14/025,713, 2014 | 7 | 2014 |
| On the optimality of the Kautz-Singleton construction in probabilistic group testing HA Inan, P Kairouz, M Wootters, A Özgür IEEE Transactions on Information Theory, 2019 | 6 | 2019 |
| Federated heavy hitters discovery with differential privacy W Zhu, P Kairouz, H Sun, B McMahan, W Li arXiv preprint arXiv:1902.08534, 2019 | 6 | 2019 |
| Sparse group testing codes for low-energy massive random access HA Inan, P Kairouz, A Ozgur 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 6 | 2017 |
| Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes K Chandrasekher, K Lee, P Kairouz, R Pedarsani, K Ramchandran 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 6 | 2017 |
| Metadata-conscious anonymous messaging G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016 | 6 | 2016 |
Pramod ViswanathProfessor of Electrical and Computer Engineering, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
