"Stress-Testing ML Pipelines with Adversarial Data Corruption."

Jiongli Zhu et al. (2025)

> Home

Details and statistics

DOI: —

access: open

type: Journal Article

metadata version: 2025-09-25

- view
  - electronic edition @ vldb.org (open access)
- export record
  dblp key:
  - journals/pvldb/ZhuXLGS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pvldb/ZhuXLGS25
Jiongli Zhu, Geyang Xu, Felipe Lorenzi, Boris Glavic, Babak Salimi:
Stress-Testing ML Pipelines with Adversarial Data Corruption. Proc. VLDB Endow. 18(11): 4668-4681 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.