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Nathan Inkawhich
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2020 – today
- 2024
- [c15]Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen:
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. ICML 2024 - [c14]Amol Khanna, Edward Raff, Nathan Inkawhich:
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML 2024: 57-77 - [c13]Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen:
Tunable Hybrid Proposal Networks for the Open World. WACV 2024: 1977-1988 - [i17]Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich:
Comprehensive OOD Detection Improvements. CoRR abs/2401.10176 (2024) - [i16]Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen:
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR abs/2403.16260 (2024) - [i15]Amol Khanna, Edward Raff, Nathan Inkawhich:
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR abs/2404.01141 (2024) - [i14]Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen:
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. CoRR abs/2404.10865 (2024) - 2023
- [j4]Nathan Inkawhich
:
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c12]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs 2023: 162-183 - [c11]Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich:
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023. CVPR Workshops 2023: 412-421 - [c10]Spencer Low, Oliver Nina, Angel Domingo Sappa, Erik Blasch, Nathan Inkawhich:
Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results - PBVS 2023. CVPR Workshops 2023: 515-523 - [c9]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529 - [i13]Nathan Inkawhich:
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition. CoRR abs/2303.10800 (2023) - [i12]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023) - [i11]Noah Fleischmann, Walter D. Bennette, Nathan Inkawhich:
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection. CoRR abs/2303.17658 (2023) - [i10]Nathan Inkawhich, Gwendolyn McDonald, Ryan Luley:
Adversarial Attacks on Foundational Vision Models. CoRR abs/2308.14597 (2023) - 2022
- [j3]Nathan Inkawhich
, Jingyang Zhang
, Eric K. Davis
, Ryan Luley
, Yiran Chen
:
Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2070-2086 (2022) - [c8]Spencer Low, Oliver Nina, Ángel D. Sappa, Erik Blasch, Nathan Inkawhich:
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022. CVPR Workshops 2022: 349-357 - [c7]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV 2022: 2907-2916 - [i9]Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. CoRR abs/2208.11050 (2022) - [i8]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022) - 2021
- [b1]Nathan Inkawhich:
Advancing the Design and Utility of Adversarial Machine Learning Methods. Duke University, Durham, NC, USA, 2021 - [j2]Nathan Inkawhich
, Matthew Inkawhich
, Eric K. Davis
, Uttam K. Majumder
, Erin E. Tripp
, Chris Capraro
, Yiran Chen
:
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2942-2955 (2021) - [j1]Nathan Inkawhich
, Eric K. Davis
, Matthew Inkawhich
, Uttam K. Majumder
, Yiran Chen
:
Training SAR-ATR Models for Reliable Operation in Open-World Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3954-3966 (2021) - [c6]Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte
:
NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge. CVPR Workshops 2021: 588-595 - [c5]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW 2021: 41-50 - [i7]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR abs/2103.09891 (2021) - [i6]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR abs/2103.09916 (2021) - [i5]Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li:
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR abs/2106.03917 (2021) - 2020
- [c4]Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. ICLR 2020 - [c3]Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS 2020 - [c2]Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li:
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS 2020 - [i4]Nathan Inkawhich, Kevin J. Liang
, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. CoRR abs/2004.12519 (2020) - [i3]Nathan Inkawhich, Kevin J. Liang
, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR abs/2004.14861 (2020) - [i2]Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li:
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR abs/2009.14720 (2020)
2010 – 2019
- 2019
- [c1]Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen:
Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR 2019: 7066-7074 - 2018
- [i1]Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li:
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers. CoRR abs/1811.11875 (2018)
Coauthor Index
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last updated on 2024-09-04 00:30 CEST by the dblp team
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