Safety, alignment & interpretability· 2020
Extracting Training Data from Large Language Models
On the reading lists
- #59 in Safety, alignment & interpretability (2026 edition)
Why it matters
Demonstrated extraction of memorized training examples and personal information from language models.
Condensed from the expert lists' notes.
The record
- First released
- 2020 (from arXiv 2012.07805)
- Published
- 2021
- Citations
- 3,459 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.308 · computed rank 585 · consensus 0.11, must-read 0, citations percentile 0.787 (2020s · safety), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.