Articles with public access mandates - Nilaksh DasLearn more
Available somewhere: 11
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 …
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning Using JPEG Compression
N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Mandates: US National Science Foundation
GOGGLES: Automatic Image Labeling with Affinity Coding
N Das, S Chaba, R Wu, S Gandhi, DH Chau, X Chu
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Mandates: US National Science Foundation
Bluff: Interactively deciphering adversarial attacks on deep neural networks
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DHP Chau
2020 IEEE Visualization Conference (VIS), 271-275, 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, ...
Extended abstracts of the 2020 CHI conference on human factors in computing …, 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
Compression to the Rescue: Defending from Adversarial Attacks Across Modalities
N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ...
Project Showcase Workshop at the 24th ACM SIGKDD International Conference on …, 2018
Mandates: US National Science Foundation
Massif: Interactive interpretation of adversarial attacks on deep learning
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DH Chau
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
EnergyVis: interactively tracking and exploring energy consumption for ML models
O Shaikh, J Saad-Falcon, AP Wright, N Das, S Freitas, O Asensio, ...
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021
Mandates: US National Science Foundation, US Department of Defense
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
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16094 …, 2021
Mandates: US National Science Foundation, US Department of Defense
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