| 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 | 126 | 2011 |
| 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 | 81 | 2015 |
| 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 | 30 | 2020 |
| 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 | 28 | 2019 |
| 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 | 26 | 2015 |
| Social Incentives in Paid Collaborative Crowdsourcing O Feyisetan, E Simperl ACM Transactions on Intelligent Systems and Technology, 2017 | 17 | 2017 |
| 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 | 11 | 2020 |
| 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 | 9 | 2016 |
| 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 | 8 | 2017 |
| 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 | 7 | 2019 |
| 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 | 7 | 2014 |
| 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 | 5 | 2021 |
| Beyond monetary incentives: Experiments in paid microtask contests O Feyisetan, E Simperl ACM Transactions on Social Computing 2 (2), 1-31, 2019 | 5 | 2019 |
| On a utilitarian approach to privacy preserving text generation Z Xu, A Aggarwal, O Feyisetan, N Teissier arXiv preprint arXiv:2104.11838, 2021 | 4 | 2021 |
| 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 | 4 | 2012 |
| Private Release of Text Embedding Vectors O Feyisetan, S Kasiviswanathan Proceedings of the First Workshop on Trust in NLP, 2021 | 3 | 2021 |
| Differentially private adversarial robustness through randomized perturbations N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier arXiv preprint arXiv:2009.12718, 2020 | 3 | 2020 |
| On primes, log-loss scores and (no) privacy A Aggarwal, Z Xu, O Feyisetan, N Teissier arXiv preprint arXiv:2009.08559, 2020 | 3 | 2020 |
| Tem: High utility metric differential privacy on text RS Carvalho, T Vasiloudis, O Feyisetan arXiv preprint arXiv:2107.07928, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
Elena SimperlProfessor of computer science, King's College London, United KingdomVerified email at kcl.ac.uk
