5 papers
RCDN: Real-Centered Detection Network for Robust Face Forgery Identification
Wyatt McCurdy, Xin Zhang, Yuqi Song +1
Image forgery has become a critical threat with the rapid proliferation of AI-based generation tools, which make it increasingly easy to synthesize realistic but fraudulent facial…
Interpretable Tile-Based Classification of Paclitaxel Exposure
Sean Fletcher, Gabby Scott, Douglas Currie +3
Medical image analysis is central to drug discovery and preclinical evaluation, where scalable, objective readouts can accelerate decision-making. We address classification of pacl…
A Dual-Branch CNN for Robust Detection of AI-Generated Facial Forgeries
Xin Zhang, Yuqi Song, Fei Zuo
The rapid advancement of generative AI has enabled the creation of highly realistic forged facial images, posing significant threats to AI security, digital media integrity, and pu…
Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model
Sean Fletcher, Gabby Scott, Douglas Currie +3
Monitoring the effects of the chemotherapeutic agent Taxol at the cellular level is critical for both clinical evaluation and biomedical research. However, existing detection metho…
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
Xin Zhang, Yuqi Song, Wyatt McCurdy +2
Convolutional neural networks (CNNs) have gained increasing popularity and versatility in recent decades, finding applications in diverse domains. These remarkable achievements are…