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EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.

H. Yuan, J. Aucott, A. Hadzic, W. Paul, M. de Flores, P. Mathew, P. Burlina, and Y. Cao. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 374-384. Springer, (2023)

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Jing Yuan

Fang Yuan

Lei Yuan

Li Yuan

Xiugan Yuan

Other publications of authors with the same name

PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation.Y. Yang, B. Hui, H. Yuan, N. Gong, and Y. Cao. USENIX Security Symposium, page 1595-1612. USENIX Association, (2023)Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.Y. Yang, H. Yuan, B. Hui, N. Gong, N. Fendley, P. Burlina, and Y. Cao. DSN, page 288-301. IEEE, (2023)WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments.Z. Zhang, Z. Zhang, H. Yuan, N. Barbosa, S. Das, and Y. Wang. SOUPS @ USENIX Security Symposium, page 281-298. USENIX Association, (2021)EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.H. Yuan, J. Aucott, A. Hadzic, W. Paul, M. de Flores, P. Mathew, P. Burlina, and Y. Cao. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 374-384. Springer, (2023)Practical Blind Membership Inference Attack via Differential Comparisons.B. Hui, Y. Yang, H. Yuan, P. Burlina, N. Gong, and Y. Cao. NDSS, The Internet Society, (2021)Addressing Heterogeneity in Federated Learning via Distributional Transformation.H. Yuan, B. Hui, Y. Yang, P. Burlina, N. Gong, and Y. Cao. ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 179-195. Springer, (2022)SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters.Y. Yang, B. Hui, H. Yuan, N. Gong, and Y. Cao. CoRR, (2023)ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content.Z. Zhang, S. Kaushik, J. Seo, H. Yuan, S. Das, L. Findlater, D. Gurari, A. Stangl, and Y. Wang. SOUPS, page 417-436. USENIX Association, (2023)EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation.H. Yuan, A. Hadzic, W. Paul, D. de Flores, P. Mathew, J. Aucott, Y. Cao, and P. Burlina. CoRR, (2022)A High Performance Memory Key-Value Database Based on Redis.Q. Liu, and H. Yuan. J. Comput., 14 (3): 170-183 (2019)

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Disambiguation of "Yuan, Haolin"

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EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.

Please choose a person to relate this publication to

Jing Yuan

Fang Yuan

Lei Yuan

Li Yuan

Xiugan Yuan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yuan, Haolin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.

Please choose a person to relate this publication to

Jing Yuan

Fang Yuan

Lei Yuan

Li Yuan

Xiugan Yuan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.