4 papers
Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds
Rawisara Lohanimit, Yankun Wu, Amelia Katirai +2
The rise of generative models has led to increased use of large-scale datasets collected from the internet, often with minimal or no data curation. This raises concerns about the i…
Instance-Level Generation for Representation Learning
Yankun Wu, Zakaria Laskar, Giorgos Kordopatis-Zilos +2
Instance-level recognition (ILR) focuses on identifying individual objects rather than broad categories, offering the highest granularity in image classification. However, this fin…
Gender Bias Evaluation in Text-to-image Generation: A Survey
Yankun Wu, Yuta Nakashima, Noa Garcia
The rapid development of text-to-image generation has brought rising ethical considerations, especially regarding gender bias. Given a text prompt as input, text-to-image models ge…
Stable Diffusion Exposed: Gender Bias from Prompt to Image
Yankun Wu, Yuta Nakashima, Noa Garcia
Several studies have raised awareness about social biases in image generative models, demonstrating their predisposition towards stereotypes and imbalances. This paper contributes…