Oluwaseyi Feyisetan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | Interspeech | Universal Semantic Disentangled Privacy-preserving Speech Representation Learning. | Biel Tura Vecino, Subhadeep Maji, Aravind Varier, Antonio Bonafonte, Ivan Valles, Michael Owen, Constantinos Papayiannis, Leif Rdel, Grant P. Strimel, Oluwaseyi Feyisetan, Roberto Barra-Chicote, Ariya Rastrow, Volker Leutnant, Trevor Wood |
| 2023 | SDM | TEM: High Utility Metric Differential Privacy on Text. | Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang |
| 2022 | AISTATS | Reconstructing Test Labels from Noisy Loss Functions. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2021 | FlAIRS | Research Challenges in Designing Differentially Private Text Generation Mechanisms. | Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier |
| 2021 | FlAIRS | Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. | Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier |
| 2021 | ICML | Label Inference Attacks from Log-loss Scores. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2020 | WSDM | Preserving Privacy in Analyses of Textual Data. | Tom Diethe, Oluwaseyi Feyisetan |
| 2020 | WSDM | Privacy-Preserving Textual Analysis via Calibrated Perturbations. | Oluwaseyi Feyisetan, Borja Balle |
| 2020 | WSDM | Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. | Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe |
| 2020 | WSDM | Calibrating Mechanisms for Privacy Preserving Text Analysis. | Oluwaseyi Feyisetan, Borja Balle, Tom Diethe, Thomas Drake |
| 2020 | WSDM | Hyperbolic Embeddings for Preserving Privacy and Utility in Text. | Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake |
| 2020 | WSDM | Workshop on Privacy in NLP (PrivateNLP 2020). | Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine |
| 2019 | ICDM | Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. | Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake |
| 2016 | ICWE | Please Stay vs Let's Play: Social Pressure Incentives in Paid Collaborative Crowdsourcing. | Oluwaseyi Feyisetan, Elena Simperl |
| 2015 | WWW | Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives. | Oluwaseyi Feyisetan, Elena Simperl, Max Van Kleek, Nigel Shadbolt |