Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Haoran Li 0003, Mingshi Xu, Yangqiu Song. Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 14022-14040, Association for Computational Linguistics, 2023. [doi]

@inproceedings{0003XS23,
  title = {Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence},
  author = {Haoran Li 0003 and Mingshi Xu and Yangqiu Song},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.881},
  researchr = {https://researchr.org/publication/0003XS23},
  cites = {0},
  citedby = {0},
  pages = {14022-14040},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}