1 citations · 2 across the 4 of their papers we have counts for
4 papers
Robust Fair Disease Diagnosis in CT Images
Justin Li, Daniel Ding, Asmita Yuki Pritha +3
Automated diagnosis from chest CT has improved considerably with deep learning, but models trained on skewed datasets tend to perform unevenly across patient demographics. However,…
Robust Multi-Source Covid-19 Detection in CT Images
Asmita Yuki Pritha, Jason Xu, Daniel Ding +4
Deep learning models for COVID-19 detection from chest CT scans generally perform well when the training and test data originate from the same institution, but they often struggle…
Rethinking Individual Fairness in Deepfake Detection
Aryana Hou, Li Lin, Justin Li +1
Generative AI models have substantially improved the realism of synthetic media, yet their misuse through sophisticated DeepFakes poses significant risks. Despite recent advances i…
Robust AI-Generated Face Detection with Imbalanced Data
Yamini Sri Krubha, Aryana Hou, Braden Vester +4
Deepfakes, created using advanced AI techniques such as Variational Autoencoder and Generative Adversarial Networks, have evolved from research and entertainment applications into…