Stratis Ioannidis
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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
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
Optimal and scalable distribution of content updates over a mobile social network
S Ioannidis, A Chaintreau, L Massouliť
IEEE INFOCOM 2009, 1422-1430, 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
Deep learning convolutional neural networks for radio identification
S Riyaz, K Sankhe, S Ioannidis, K Chowdhury
IEEE Communications Magazine 56 (9), 146-152, 2018
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
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
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
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
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
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
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
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
Adaptive caching networks with optimality guarantees
S Ioannidis, E Yeh
ACM SIGMETRICS Performance Evaluation Review 44 (1), 113-124, 2016
Distributed caching over heterogeneous mobile networks
S Ioannidis, L Massoulie, A Chaintreau
Proceedings of the ACM SIGMETRICS international conference on Measurement†…, 2010
Incentivizing peer-assisted services: A fluid Shapley value approach
V Misra, S Ioannidis, A Chaintreau, L Massouliť
ACM SIGMETRICS Performance Evaluation Review 38 (1), 215-226, 2010
Monitoring disease progression with a quantitative severity scale for retinopathy of prematurity using deep learning
S Taylor, JM Brown, K Gupta, JP Campbell, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 137 (9), 1022-1028, 2019
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
MD Li, K Chang, B Bearce, CY Chang, AJ Huang, JP Campbell, ...
NPJ digital medicine 3 (1), 48, 2020
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
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
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