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cs.CV2024
FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
Jaechul Roh, Andrew Yuan, Jinsong Mao
Text-to-Image (T2I) diffusion models have rapidly advanced, enabling the generation of high-quality images that align closely with textual descriptions. However, this progress has…
cs.LG2024
Backdooring Bias () into Stable Diffusion Models
Ali Naseh, Jaechul Roh, Eugene Bagdasarian +1
Recent advances in large text-conditional diffusion models have revolutionized image generation by enabling users to create realistic, high-quality images from textual prompts, sig…
cs.LG2024
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng, Jaechul Roh, Subhransu Maji +1
We introduce One-Shot Label-Only (OSLO) membership inference attacks (MIAs), which accurately infer a given sample's membership in a target model's training set with high precision…