Data Poisoning Attack and Defenses in Connectome-Based Predictive Models. - Matthew Rosenblatt; Dustin Scheinost (EPIMI/ML-CDS@MICCAI, 2022)

Stacking multiple optimal transport policies to map functional connectomes. - Javid Dadashkarimi; Matthew Rosenblatt; Amin Karbasi; Dustin Scheinost (CISS, 2023)

Gradient-Based Enhancement Attacks in Biomedical Machine Learning. - Matthew Rosenblatt; Javid Dadashkarimi; Dustin Scheinost (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Enhancement attacks in biomedical machine learning. - Matthew Rosenblatt; Javid Dadashkarimi; Dustin Scheinost (CoRR, 2023)

Connectome-based machine learning models are vulnerable to subtle data manipulations. - Matthew Rosenblatt; Raimundo X. Rodriguez; Margaret L. Westwater; Wei Dai; Corey Horien; Abigail S. Greene; R. Todd Constable; Stephanie Noble; Dustin Scheinost (Patterns, 2023)

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. - Javid Dadashkarimi; Amin Karbasi; Qinghao Liang; Matthew Rosenblatt; Stephanie Noble; Maya Foster; Raimundo X. Rodriguez; Brendan Adkinson; Jean Ye; Huili Sun; Chris Camp; Michael Farruggia; et al. (Medical Image Anal., 2023)