Author

Simon Lupart

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UvA-DARE (Digital Academic Repository) Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval

This paper trains a perturbation model with the objective of maintaining the geometric distance between the original and adversarial document embeddings, while also maximizing the token-level dissimilarity be-tween the original and adversarial documents.

Yongkang Li, Simon Lupart · 1 citation