Papers by Iyadh Ben Cheikh Larbi

1 papers
Clinical Text Anonymization, its Influence on Downstream NLP Tasks and the Risk of Re-Identification (2023.eacl-srw)

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Challenge: De-identification and anonymization of clinical data is needed to solve access to clinicaldata.
Approach: They propose to use text anonymization techniques to break the anonymization of clinical data . they propose to apply a re-identification attack to the anonymized text data to break this.
Outcome: The proposed approach can break the anonymization of clinical data, the authors show .

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