| Privacy-preserving ridge regression on hundreds of millions of records V Nikolaenko, U Weinsberg, S Ioannidis, M Joye, D Boneh, N Taft Security and Privacy (SP), 2013 IEEE Symposium on, 334-348, 2013 | 498 | 2013 |
| Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ... JAMA ophthalmology 136 (7), 803-810, 2018 | 366 | 2018 |
| Optimal and scalable distribution of content updates over a mobile social network S Ioannidis, A Chaintreau, L Massoulié IEEE INFOCOM 2009, 1422-1430, 2009 | 364 | 2009 |
| Privacy-preserving matrix factorization V Nikolaenko, S Ioannidis, U Weinsberg, M Joye, N Taft, D Boneh Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013 | 326 | 2013 |
| Deep learning convolutional neural networks for radio identification S Riyaz, K Sankhe, S Ioannidis, K Chowdhury IEEE Communications Magazine 56 (9), 146-152, 2018 | 218 | 2018 |
| BlurMe: Inferring and obfuscating user gender based on ratings U Weinsberg, S Bhagat, S Ioannidis, N Taft Proceedings of the sixth ACM conference on Recommender systems, 195-202, 2012 | 170 | 2012 |
| Graphsc: Parallel secure computation made easy K Nayak, XS Wang, S Ioannidis, U Weinsberg, N Taft, E Shi 2015 IEEE symposium on security and privacy, 377-394, 2015 | 148 | 2015 |
| ORACLE: Optimized radio classification through convolutional neural networks K Sankhe, M Belgiovine, F Zhou, S Riyaz, S Ioannidis, K Chowdhury IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 370-378, 2019 | 147 | 2019 |
| Distributed caching over heterogeneous mobile networks S Ioannidis, L Massoulie, A Chaintreau Proceedings of the ACM SIGMETRICS international conference on Measurement …, 2010 | 112 | 2010 |
| Adaptive caching networks with optimality guarantees S Ioannidis, E Yeh ACM SIGMETRICS Performance Evaluation Review 44 (1), 113-124, 2016 | 108 | 2016 |
| Incentivizing peer-assisted services: A fluid Shapley value approach V Misra, S Ioannidis, A Chaintreau, L Massoulié ACM SIGMETRICS Performance Evaluation Review 38 (1), 215-226, 2010 | 106 | 2010 |
| Deep learning for RF fingerprinting: A massive experimental study T Jian, BC Rendon, E Ojuba, N Soltani, Z Wang, K Sankhe, A Gritsenko, ... IEEE Internet of Things Magazine 3 (1), 50-57, 2020 | 101 | 2020 |
| Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting A Al-Shawabka, F Restuccia, S D’Oro, T Jian, BC Rendon, N Soltani, J Dy, ... IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 646-655, 2020 | 98 | 2020 |
| Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity TK Redd, JP Campbell, JM Brown, SJ Kim, S Ostmo, RVP Chan, J Dy, ... British Journal of Ophthalmology 103 (5), 580-584, 2019 | 95 | 2019 |
| No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments K Sankhe, M Belgiovine, F Zhou, L Angioloni, F Restuccia, S D’Oro, ... IEEE Transactions on Cognitive Communications and Networking 6 (1), 165-178, 2019 | 94 | 2019 |
| Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd G Zyba, GM Voelker, S Ioannidis, C Diot 2011 Proceedings IEEE INFOCOM, 1179-1187, 2011 | 94 | 2011 |
| Orchestrating Massively Distributed CDNs JW Jiang, S Ioannidis, L Massoulié, F Picconi The 8th International Conference on emerging Networking EXperiments and …, 2012 | 89 | 2012 |
| Jointly optimal routing and caching for arbitrary network topologies S Ioannidis, E Yeh Proceedings of the 4th ACM Conference on Information-Centric Networking, 77-87, 2017 | 84 | 2017 |
| DeepRadioID: Real-time channel-resilient optimization of deep learning-based radio fingerprinting algorithms F Restuccia, S D'Oro, A Al-Shawabka, M Belgiovine, L Angioloni, ... Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 81 | 2019 |
| Guess Who Rated This Movie: Identifying Users Through Subspace Clustering A Zhang, N Fawaz, S Ioannidis, A Montanari Uncertainty in Artifical Inteligence (UAI), 2012 | 73 | 2012 |
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
