"Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse ..."

Jessica Quaye et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3630106.3658913

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/fat/QuayePIRKKLBTWC24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fat/QuayePIRKKLBTWC24
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT 2024: 388-406

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.