| 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 | 140 | 2011 |
| 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 | 138 | 2020 |
| 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 | 90 | 2015 |
| 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 | 86 | 2019 |
| 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 | 47 | 2020 |
| 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 | 34 | 2023 |
| 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 | 30 | 2015 |
| On a utilitarian approach to privacy preserving text generation Z Xu, A Aggarwal, O Feyisetan, N Teissier arXiv preprint arXiv:2104.11838, 2021 | 25 | 2021 |
| Social Incentives in Paid Collaborative Crowdsourcing O Feyisetan, E Simperl ACM Transactions on Intelligent Systems and Technology, 2017 | 22 | 2017 |
| Private Release of Text Embedding Vectors O Feyisetan, S Kasiviswanathan Proceedings of the First Workshop on Trust in NLP, 2021 | 21 | 2021 |
| 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 | 17 | 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 | 13 | 2021 |
| Beyond monetary incentives: Experiments in paid microtask contests O Feyisetan, E Simperl ACM Transactions on Social Computing 2 (2), 1-31, 2019 | 13 | 2019 |
| 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 | 12 | 2021 |
| 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 | 11 | 2019 |
| 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 | 10 | 2017 |
| Brr: Preserving privacy of text data efficiently on device RS Carvalho, T Vasiloudis, O Feyisetan arXiv preprint arXiv:2107.07923, 2021 | 9 | 2021 |
| 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 | 9 | 2016 |
| Research Challenges in Designing Differentially Private Text Generation Mechanisms O Feyisetan, A Aggarwal, Z Xu, N Teissier The International FLAIRS Conference Proceedings 34 (1), 2021 | 7 | 2021 |
| Preserving privacy in analyses of textual data T Diethe, O Feyisetan, B Balle, T Drake | 7 | 2020 |
Abhinav AggarwalAmazon Alexa AIVerified email at amazon.com
