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Online users generate tremendous amounts of textual information by participating in different activities, such as writing reviews and sharing tweets.
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t-Plausibility: Generalizing Words to Desensitize Text
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The algorithmic foundations of differential privacy
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Quantifying web-search privacy. In \bibinfo
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Generative adversarial nets. In \bibinfo
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Distributed representations of sentences and documents. In \bibinfo
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Differentially private network data release via structural inference. In \bibinfo
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An interactive method for inferring demographic attributes in Twitter. In \bibinfo
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Early Identification of Pathogenic Social Media Accounts. In \bibinfo
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Securing social media user data: An adversarial approach. In \bibinfo
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Towards Robust and Privacy-preserving Text Representations
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Personalized privacy-preserving social recommendation. In \bibinfo
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Privacy-Preserving Social Media Data Outsourcing. In \bibinfo
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Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media. In \bibinfo
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Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts. In \bibinfo
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"Identifying Novel Privacy Issues of Online Users on Social Media Platforms" by Ghazaleh Beigi and Huan Liu with Martin Vesely As Coordinator
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Signed Link Prediction with Sparse Data: The Role of Personality Information. In \bibinfo
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