"Constrained Gradient Descent: A Powerful and Principled Evasion Attack ..."

Weiran Lin et al. (2022)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-07-12

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/icml/LinLBRS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/LinLBRS22
Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. ICML 2022: 13405-13430

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.