Thomas Drake
2020
Hyperbolic Embeddings for Preserving Privacy and Utility in Text
Oluwaseyi Feyisetan
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Tom Diethe
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Thomas Drake
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020
Calibrating Mechanisms for Privacy Preserving Text Analysis
Oluwaseyi Feyisetan
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Borja Balle
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Tom Diethe
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Thomas Drake
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan
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Borja Balle
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Thomas Drake
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Tom Diethe
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
2018
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa
Jie Yang
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Thomas Drake
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Andreas C. Damianou
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Yoelle Maarek
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018
Co-authors
- Tom Diethe 3
- Oluwaseyi Feyisetan 3
- Borja Balle 2
- Yoelle Maarek 1
- Jie Yang 1
- show all...