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Oluwaseyi Feyisetan
Oluwaseyi Feyisetan
Amazon Research
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Security issues in cloud computing: The potentials of homomorphic encryption
AA Atayero, O Feyisetan
Journal of Emerging Trends in Computing and Information Sciences 2 (10), 546-552, 2011
1262011
Improving paid microtasks through gamification and adaptive furtherance incentives
O Feyisetan, E Simperl, M Van Kleek, N Shadbolt
Proceedings of the 24th international conference on world wide web, 333-343, 2015
812015
Privacy-and utility-preserving textual analysis via calibrated multivariate perturbations
O Feyisetan, B Balle, T Drake, T Diethe
Proceedings of the 13th International Conference on Web Search and Data …, 2020
302020
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
O Feyisetan, T Diethe, T Drake
IEEE International Conference on Data Mining (ICDM), 210-219, 2019
282019
Towards hybrid NER: a study of content and crowdsourcing-related performance factors
O Feyisetan, M Luczak-Rösch, E Simperl, R Tinati, N Shadbolt
European Semantic Web Conference, 525-540, 2015
262015
Social Incentives in Paid Collaborative Crowdsourcing
O Feyisetan, E Simperl
ACM Transactions on Intelligent Systems and Technology, 2017
172017
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Z Xu, A Aggarwal, O Feyisetan, N Teissier
Proceedings of the Second Workshop on Privacy in NLP, 1-6, 2020
112020
Please stay vs let’s play: Social pressure incentives in paid collaborative crowdsourcing
O Feyisetan, E Simperl
International Conference on Web Engineering, 405-412, 2016
92016
An Extended Study of Content and Crowdsourcing-related Performance Factors in Named Entity Annotation
O Feyisetan, E Simperl, M Luczak-Roesch, R Tinati, N Shadbolt
Semantic Web, 2017
82017
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification
O Feyisetan, T Drake, B Balle, T Diethe
Privacy-Enhancing Artificial Intelligence and Language Technologies, 2019
72019
Quick-and-clean extraction of linked data entities from microblogs
O Feyisetan, E Simperl, R Tinati, M Luczak-Roesch, N Shadbolt
Proceedings of the 10th International Conference on Semantic Systems, 5-12, 2014
72014
Label inference attacks from log-loss scores
A Aggarwal, S Kasiviswanathan, Z Xu, O Feyisetan, N Teissier
International Conference on Machine Learning, 120-129, 2021
52021
Beyond monetary incentives: Experiments in paid microtask contests
O Feyisetan, E Simperl
ACM Transactions on Social Computing 2 (2), 1-31, 2019
52019
On a utilitarian approach to privacy preserving text generation
Z Xu, A Aggarwal, O Feyisetan, N Teissier
arXiv preprint arXiv:2104.11838, 2021
42021
ePCRN-IDEA2: an agent-based system for large-scale clinical trial recruitment
S Feyisetan, G Tyson, A Taweel, M Vargas-Vera, T Van Staa, B Delaney
11th International Conference on Autonomous Agents and Multiagent Systems, 2012
42012
Private Release of Text Embedding Vectors
O Feyisetan, S Kasiviswanathan
Proceedings of the First Workshop on Trust in NLP, 2021
32021
Differentially private adversarial robustness through randomized perturbations
N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier
arXiv preprint arXiv:2009.12718, 2020
32020
On primes, log-loss scores and (no) privacy
A Aggarwal, Z Xu, O Feyisetan, N Teissier
arXiv preprint arXiv:2009.08559, 2020
32020
Tem: High utility metric differential privacy on text
RS Carvalho, T Vasiloudis, O Feyisetan
arXiv preprint arXiv:2107.07928, 2021
22021
Privacy and intent-preserving redaction for text utterance data
T Drake, O Feyisetan, B de Balle Pigem, T Diethe
US Patent 11,024,299, 2021
22021
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Articles 1–20