Papers by Haohan Bo
ER-AE: Differentially Private Text Generation for Authorship Anonymization (2021.naacl-main)
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| Challenge: | Recent studies on privacy protection for textual data focus on removing explicit sensitive identifiers without considering the author's writing style. |
| Approach: | They propose a text generation model with an exponential mechanism for authorship anonymization that augments the semantic information through a REINFORCE training reward function. |
| Outcome: | The proposed model outperforms the state-of-the-art on semantic preservation, authorship obfuscation, and stylometric transformation on the real-life peer reviews and Yelp review datasets. |