Safety, alignment & interpretability· 2016
Membership Inference Attacks against Machine Learning Models
On the reading lists
- #399 in the Top 500 (2026 edition)
- #44 in Safety, alignment & interpretability (2026 edition)
Why it matters
Demonstrated that model predictions can reveal whether sensitive examples appeared during training.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1610.05820)
- Published
- 2017
- Citations
- 5,781 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.383 · computed rank 399 · consensus 0.32, must-read 0, citations percentile 0.819 (2010s · 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.