Articles with public access mandates - Haekyu ParkLearn more
Available somewhere: 10
CNN explainer: learning convolutional neural networks with interactive visualization
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
F Hohman, H Park, C Robinson, DHP Chau
IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
RECAST: Enabling user recourse and interpretability of toxicity detection models with interactive visualization
AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, DH Chau, ...
Proceedings of the ACM on human-computer interaction 5 (CSCW1), 1-26, 2021
Mandates: US National Science Foundation, US Department of Defense
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng
IEEE Visualization Conference (VIS), 2020, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
Neurocartography: Scalable automatic visual summarization of concepts in deep neural networks
H Park, N Das, R Duggal, AP Wright, O Shaikh, F Hohman, DHP Chau
IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021
Mandates: US National Science Foundation, US Department of Defense
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DH Chau
ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
DetectorDetective: Investigating the effects of adversarial examples on object detectors
S Vellaichamy, M Hull, ZJ Wang, N Das, SY Peng, H Park, DHP Chau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US Department of Defense
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
H Park, ZJ Wang, N Das, AS Paul, P Perumalla, Z Zhou, DH Chau
The Association for the Advancement of Artificial Intelligence (AAAI), 2021
Mandates: US National Science Foundation, US Department of Defense
Recast: Interactive auditing of automatic toxicity detection models
AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, D Yang, ...
Proceedings of the Eighth International Workshop of Chinese CHI, 80-82, 2020
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
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