Oluwaseyi Feyisetan

36 papers A* 3A 5B 2Misc 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Universal Semantic Disentangled Privacy-preserving Speech Representation Learning. INTERSPEECH Biel Tura Vecino, Subhadeep Maji, Aravind Varier, Antonio Bonafonte, Ivan Valles, Michael Owen, Constantinos Papayiannis, Leif Rädel, Grant P. Strimel, Oluwaseyi Feyisetan, Roberto Barra-Chicote, Ariya Rastrow, Volker Leutnant, Trevor Wood
2024	J	`jnl`	Fast Training Dataset Attribution via In-Context Learning. CoRR Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan, Payman Arabshahi, David Heckerman
2024	J	`jnl`	Removing Spurious Correlation from Neural Network Interpretations. CoRR Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan, Payman Arabshahi, David Heckerman
2023	A	`conf`	TEM: High Utility Metric Differential Privacy on Text. SDM Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
2022	A	`conf`	Reconstructing Test Labels from Noisy Loss Functions. AISTATS Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
2021	J	`jnl`	BRR: Preserving Privacy of Text Data Efficiently on Device. CoRR Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2021	Misc	`conf`	Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. FLAIRS Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
2021	A*	`conf`	Label Inference Attacks from Log-loss Scores. ICML Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
2021	J	`jnl`	Label Inference Attacks from Log-loss Scores. CoRR Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
2021	J	`jnl`	On Codomain Separability and Label Inference from (Noisy) Loss Functions. CoRR Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
2021	J	`jnl`	On a Utilitarian Approach to Privacy Preserving Text Generation. CoRR Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
2021	Misc	`conf`	Research Challenges in Designing Differentially Private Text Generation Mechanisms. FLAIRS Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
2021	J	`jnl`	TEM: High Utility Metric Differential Privacy on Text. CoRR Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2020	J	`jnl`	A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. CoRR Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
2020	—	`conf`	Calibrating Mechanisms for Privacy Preserving Text Analysis. PrivateNLP@WSDM Oluwaseyi Feyisetan, Borja Balle, Tom Diethe, Thomas Drake
2020	J	`jnl`	Differentially Private Adversarial Robustness Through Randomized Perturbations. CoRR Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
2020	—	`conf`	Hyperbolic Embeddings for Preserving Privacy and Utility in Text. PrivateNLP@WSDM Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
2020	J	`jnl`	On Primes, Log-Loss Scores and (No) Privacy. CoRR Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
2020	—	`conf`	Preserving Privacy in Analyses of Textual Data. PrivateNLP@WSDM Tom Diethe, Oluwaseyi Feyisetan
2020	A	`conf`	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. WSDM Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
2020	—	`conf`	Privacy-Preserving Textual Analysis via Calibrated Perturbations. PrivateNLP@WSDM Oluwaseyi Feyisetan, Borja Balle
2020	—	`ed.`	Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020. PrivateNLP@WSDM Oluwaseyi Feyisetan, Sepideh Ghanavati, Oleg Rokhlenko, Patricia Thaine
2020	J	`jnl`	Research Challenges in Designing Differentially Private Text Generation Mechanisms. CoRR Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
2020	A	`conf`	Workshop on Privacy in NLP (PrivateNLP 2020). WSDM Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine
2019	J	`jnl`	Beyond Monetary Incentives: Experiments in Paid Microtask Contests. ACM Trans. Soc. Comput. Oluwaseyi Feyisetan, Elena Simperl
2019	J	`jnl`	Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains. CoRR Oluwaseyi Feyisetan, Elena Simperl
2019	A*	`conf`	Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. ICDM Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
2019	J	`jnl`	Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. CoRR Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake
2019	J	`jnl`	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. CoRR Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
2019	J	`jnl`	Privacy-preserving Active Learning on Sensitive Data for User Intent Classification. CoRR Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
2018	J	`jnl`	An extended study of content and crowdsourcing-related performance factors in named entity annotation. Semantic Web Oluwaseyi Feyisetan, Elena Simperl, Markus Luczak-Rösch, Ramine Tinati, Nigel Shadbolt
2017	J	`jnl`	Social Incentives in Paid Collaborative Crowdsourcing. ACM Trans. Intell. Syst. Technol. Oluwaseyi Feyisetan, Elena Simperl
2016	B	`conf`	Please Stay vs Let's Play: Social Pressure Incentives in Paid Collaborative Crowdsourcing. ICWE Oluwaseyi Feyisetan, Elena Simperl
2015	A*	`conf`	Improving Paid Microtasks through Gamification and Adaptive Furtherance Incentives. WWW Oluwaseyi Feyisetan, Elena Simperl, Max Van Kleek, Nigel Shadbolt
2015	B	`conf`	Towards Hybrid NER: A Study of Content and Crowdsourcing-Related Performance Factors. ESWC Oluwaseyi Feyisetan, Markus Luczak-Rösch, Elena Simperl, Ramine Tinati, Nigel Shadbolt
2014	Misc	`conf`	Quick-and-clean extraction of linked data entities from microblogs. SEMANTiCS Oluwaseyi Feyisetan, Elena Simperl, Ramine Tinati, Markus Luczak-Rösch, Nigel Shadbolt