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Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.

M. Pavlak, N. Drenkow, N. Petrick, M. Farhangi, and M. Unberath. MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 442-452. Springer, (2023)

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Erhard Drenkow

Renate Drenkow

Nathan ben-Nathan

Erhard Drenkow

Other publications of authors with the same name

RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning.N. Drenkow, and M. Unberath. CoRR, (2023)Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.Z. Li, X. Liu, N. Drenkow, A. Ding, F. Creighton, R. Taylor, and M. Unberath. ICCV, page 6177-6186. IEEE, (2021)Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.E. Johnson, B. Robinson, G. Vallabha, J. Joyce, J. Matelsky, R. Norman-Tenazas, I. Western, M. Villafañe-Delgado, M. Cervantes, M. Robinette and 10 other author(s). CoRR, (2023)Objectness-Guided Open Set Visual Search and Closed Set Detection.N. Drenkow, P. Burlina, N. Fendley, K. Odoemene, and J. Markowitz. CoRR, (2020)Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?M. Lennon, N. Drenkow, and P. Burlina. ICCVW, page 112-121. IEEE, (2021)Robustness in Deep Learning for Computer Vision: Mind the gap?N. Drenkow, N. Sani, I. Shpitser, and M. Unberath. CoRR, (2021)From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments.K. Oguine, R. Soberanis-Mukul, N. Drenkow, and M. Unberath. CoRR, (2024)The First International Competition in Machine Reconnaissance Blind Chess.R. Gardner, C. Lowman, C. Richardson, A. Llorens, J. Markowitz, N. Drenkow, A. Newman, G. Clark, G. Perrotta, R. Perrotta and 5 other author(s). NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 121-130. PMLR, (2019)Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?N. Drenkow, M. Lennon, I. Wang, and P. Burlina. WACV, page 1380-1389. IEEE, (2023)Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis.N. Drenkow, N. Fendley, and P. Burlina. WACV, page 2815-2825. IEEE, (2022)

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Disambiguation of "Drenkow, Nathan"

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Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.

Please choose a person to relate this publication to

Erhard Drenkow

Renate Drenkow

Nathan ben-Nathan

Erhard Drenkow

Erhard Drenkow

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Drenkow, Nathan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.

Please choose a person to relate this publication to

Erhard Drenkow

Renate Drenkow

Nathan ben-Nathan

Erhard Drenkow

Erhard Drenkow

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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MSOffice XML

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.