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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
1362011
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
862020
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
852015
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
652019
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
322020
Towards hybrid NER: a study of content and crowdsourcing-related performance factors
O Feyisetan, M Luczak-Rösch, E Simperl, R Tinati, N Shadbolt
The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015
292015
Social Incentives in Paid Collaborative Crowdsourcing
O Feyisetan, E Simperl
ACM Transactions on Intelligent Systems and Technology, 2017
212017
On a utilitarian approach to privacy preserving text generation
Z Xu, A Aggarwal, O Feyisetan, N Teissier
arXiv preprint arXiv:2104.11838, 2021
152021
Tem: High utility metric differential privacy on text
RS Carvalho, T Vasiloudis, O Feyisetan, K Wang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
122023
Private Release of Text Embedding Vectors
O Feyisetan, S Kasiviswanathan
Proceedings of the First Workshop on Trust in NLP, 2021
112021
Beyond monetary incentives: Experiments in paid microtask contests
O Feyisetan, E Simperl
ACM Transactions on Social Computing 2 (2), 1-31, 2019
112019
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
112019
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
102017
Density-aware differentially private textual perturbations using truncated Gumbel noise
N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier
The International FLAIRS Conference Proceedings 34, 2021
92021
Please stay vs let’s play: Social pressure incentives in paid collaborative crowdsourcing
O Feyisetan, E Simperl
Web Engineering: 16th International Conference, ICWE 2016, Lugano …, 2016
92016
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
82021
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
72021
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
Brr: Preserving privacy of text data efficiently on device
RS Carvalho, T Vasiloudis, O Feyisetan
arXiv preprint arXiv:2107.07923, 2021
52021
Preserving privacy in analyses of textual data
T Diethe, O Feyisetan, B Balle, T Drake
52020
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Articles 1–20