Papers with author identification

2 papers
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System (2020.starsem-1)

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Challenge: Existing approaches to author obfuscation are largely heuristic, but they can be used to attack author identification.
Approach: They propose a deep learning architecture for constructing adversarial examples against similarity-based learners and explore its application to author obfuscation.
Outcome: The proposed architectures show that they can be used to attack author obfuscation . the proposed architecture shows that it can be applied to obliquacy of text .
Locally Differentially Private Document Generation Using Zero Shot Prompting (2023.findings-emnlp)

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Challenge: Existing privacy protections are limited by pretrained large language models . a new mechanism that leverages the power of large language model de-anonymization is proposed .
Approach: They propose a locally differentially private mechanism that leverages pretrained large language models to counter author de-anonymization attacks by minimizing the impact on downstream utility.
Outcome: The proposed mechanism reduces the success rate of de-anonymization attacks against IMDB datasets while minimizing the impact on downstream utility.

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