Oluwaseyi Feyisetan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 31

Top Topics

Differentially Private

Preserving Privacy

Perturbation Method

Text Generation

Top Venues

PrivateNLP@WSDM

FLAIRS Conference

Publications

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
TEM: High Utility Metric Differential Privacy on Text. SDM (2023)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Reconstructing Test Labels from Noisy Loss Functions. AISTATS (2022)
Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Research Challenges in Designing Differentially Private Text Generation Mechanisms. FLAIRS Conference (2021)
Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. FLAIRS Conference (2021)
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
BRR: Preserving Privacy of Text Data Efficiently on Device. CoRR (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
On Codomain Separability and Label Inference from (Noisy) Loss Functions. CoRR (2021)
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
TEM: High Utility Metric Differential Privacy on Text. CoRR (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Label Inference Attacks from Log-loss Scores. CoRR (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Label Inference Attacks from Log-loss Scores. ICML (2021)
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
On a Utilitarian Approach to Privacy Preserving Text Generation. CoRR (2021)
Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine
Workshop on Privacy in NLP (PrivateNLP 2020). WSDM (2020)
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. CoRR (2020)
Tom Diethe, Oluwaseyi Feyisetan
Preserving Privacy in Analyses of Textual Data. PrivateNLP@WSDM (2020)
Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Research Challenges in Designing Differentially Private Text Generation Mechanisms. CoRR (2020)
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. WSDM (2020)
Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Differentially Private Adversarial Robustness Through Randomized Perturbations. CoRR (2020)
Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
On Primes, Log-Loss Scores and (No) Privacy. CoRR (2020)
Oluwaseyi Feyisetan, Borja Balle
Privacy-Preserving Textual Analysis via Calibrated Perturbations. PrivateNLP@WSDM (2020)
Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
Hyperbolic Embeddings for Preserving Privacy and Utility in Text. PrivateNLP@WSDM (2020)
Oluwaseyi Feyisetan, Borja Balle, Tom Diethe, Thomas Drake
Calibrating Mechanisms for Privacy Preserving Text Analysis. PrivateNLP@WSDM (2020)
Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. ICDM (2019)
Oluwaseyi Feyisetan, Elena Simperl
Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains. CoRR (2019)
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. CoRR (2019)
Oluwaseyi Feyisetan, Elena Simperl
Beyond Monetary Incentives: Experiments in Paid Microtask Contests. ACM Trans. Soc. Comput. 2 (2) (2019)
Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification. CoRR (2019)
Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. CoRR (2019)
Oluwaseyi Feyisetan, Elena Simperl, Markus Luczak-Rösch, Ramine Tinati, Nigel Shadbolt
An extended study of content and crowdsourcing-related performance factors in named entity annotation. Semantic Web 9 (3) (2018)
Oluwaseyi Feyisetan, Elena Simperl
Social Incentives in Paid Collaborative Crowdsourcing. ACM Trans. Intell. Syst. Technol. 8 (6) (2017)
Oluwaseyi Feyisetan, Elena Simperl
Please Stay vs Let's Play: Social Pressure Incentives in Paid Collaborative Crowdsourcing. ICWE (2016)
Oluwaseyi Feyisetan, Markus Luczak-Rösch, Elena Simperl, Ramine Tinati, Nigel Shadbolt
Towards Hybrid NER: A Study of Content and Crowdsourcing-Related Performance Factors. ESWC (2015)
Oluwaseyi Feyisetan, Elena Simperl, Max Van Kleek, Nigel Shadbolt
Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives. WWW (2015)
Oluwaseyi Feyisetan, Elena Simperl, Ramine Tinati, Markus Luczak-Rösch, Nigel Shadbolt
Quick-and-clean extraction of linked data entities from microblogs. SEMANTiCS (2014)