Backdooring Bias ((B^2)) into Diffusion Models
Naseh, Ali;
Backdooring Bias ((B^2)) into Diffusion Models
This repository contains the archived artifacts associated with our USENIX Security 2025 paper, Backdooring Bias (B²) into Diffusion Models. It includes the full codebase and instructions necessary to generate datasets, fine-tune models, and run evaluation pipelines. For more information and usage instructions, please refer to the README file included in the archive.
- University of Massachusetts Amherst United States
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average