| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 385 | 2022 |
| Proof-of-learning: Definitions and practice H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ... 2021 IEEE Symposium on Security and Privacy (SP), 1039-1056, 2021 | 103 | 2021 |
| Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 79 | 2021 |
| Improving the fairness of chest x-ray classifiers H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi Conference on health, inference, and learning, 204-233, 2022 | 72 | 2022 |
| An empirical framework for domain generalization in clinical settings H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi Proceedings of the conference on health, inference, and learning, 279-290, 2021 | 70 | 2021 |
| Capc learning: Confidential and private collaborative learning CA Choquette-Choo, N Dullerud, A Dziedzic, Y Zhang, S Jha, N Papernot, ... arXiv preprint arXiv:2102.05188, 2021 | 67 | 2021 |
| Can you fake it until you make it? impacts of differentially private synthetic data on downstream classification fairness V Cheng, VM Suriyakumar, N Dullerud, S Joshi, M Ghassemi Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 60 | 2021 |
| Washing the unwashable: On the (im) possibility of fairwashing detection A Shahin Shamsabadi, M Yaghini, N Dullerud, S Wyllie, U Aïvodji, ... Advances in Neural Information Processing Systems 35, 14170-14182, 2022 | 18 | 2022 |
| Proof-of-learning is currently more broken than you think C Fang, H Jia, A Thudi, M Yaghini, CA Choquette-Choo, N Dullerud, ... 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 797-816, 2023 | 16 | 2023 |
| Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning N Dullerud, K Roth, K Hamidieh, N Papernot, M Ghassemi arXiv preprint arXiv:2203.12748, 2022 | 16 | 2022 |
| Confidential-PROFITT: confidential PROof of fair training of trees AS Shamsabadi, SC Wyllie, N Franzese, N Dullerud, S Gambs, ... The Eleventh International Conference on Learning Representations, 2022 | 14 | 2022 |
| AI recognition of patient race in medical imaging: a modelling study. Lancet Digit Health 4, e406–e414 JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... | 10 | 2022 |
| On the fundamental limits of formally (dis) proving robustness in proof-of-learning C Fang, H Jia, A Thudi, M Yaghini, CA Choquette-Choo, N Dullerud, ... arXiv preprint arXiv:2208.03567 9, 2022 | 8 | 2022 |
| CAR T cell therapy drives endogenous locoregional T cell dynamics in a responding patient with glioblastoma VD Jonsson, RH Ng, N Dullerud, RA Wong, J Hibbard, D Wang, B Aguilar, ... BioRxiv, 2021.09. 22.460392, 2021 | 6 | 2021 |
| Cellular immunotherapy treatment scheduling to address antigen escape N Dullerud, VD Jonsson 2020 59th IEEE Conference on Decision and Control (CDC), 4634-4639, 2020 | 4 | 2020 |
| CAR T cell therapy reshapes the tumor microenvironment to promote host antitumor immune repsonses in glioblastoma CE Brown, D Alizadeh, V Jonsson, J Hibbard, S Yahn, RA Wong, X Yang, ... Cancer Research 81 (13_Supplement), 59-59, 2021 | 2 | 2021 |
| Private Multi-Winner Voting for Machine Learning A Dziedzic, CA Choquette-Choo, N Dullerud, VM Suriyakumar, ... arXiv preprint arXiv:2211.15410, 2022 | | 2022 |
| An Integrated Multi-Label Multi-Modal Framework in Deep Metric Learning N Dullerud, K Roth, H Zhang, Q Jin, T Hartvigsen, M Ghassemi | | |
