Nathan Inkawhich
8 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
out-of-distribution detection
(2)
adversarial attack
(2)
risk management
(1)
ensemble learning
(1)
object detection
(1)
model robustness
(1)
knowledge distillation
(1)
convolutional neural network
(1)
confidence calibration
(1)
adversarial training
(1)
fine-grained classification
(1)
layer-wise analysis
(1)
feature distribution
(1)
black-box attack
(1)
anomaly detection
(1)
ensemble method
(1)
adversarial learning
(1)
model ensemble
(1)
image classifier
(1)
image classification
(1)
Papers
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
ICML 2024
Tunable Hybrid Proposal Networks for the Open World
WACV 2024
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments
WACV 2023
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks
WACV 2022
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NeurIPS 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
NeurIPS 2020
Transferable Perturbations of Deep Feature Distributions
ICLR 2020
Feature Space Perturbations Yield More Transferable Adversarial Examples
CVPR 2019