wsdm 2020 论文列表
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020.
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Privacy-Preserving Textual Analysis via Calibrated Perturbations.
Hyperbolic Embeddings for Preserving Privacy and Utility in Text.
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Is It Possible to Preserve Privacy in the Age of AI?
Classification of Encrypted Word Embeddings using Recurrent Neural Networks.
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network.
Privacy-Aware Personalized Entity Representations for Improved User Understanding.
Calibrating Mechanisms for Privacy Preserving Text Analysis.
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Preserving Privacy in Analyses of Textual Data.
