Privacy-preserving Neural Representations of Text

EMNLP 2018 Maximin CoavouxShashi NarayanShay B. Cohen

This article deals with adversarial attacks towards deep learning systems for Natural Language Processing (NLP), in the context of privacy protection. We study a specific type of attack: an attacker eavesdrops on the hidden representations of a neural text classifier and tries to recover information about the input text... (read more)

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