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Nilaksh Das
Nilaksh Das
Applied Scientist, Amazon AWS AI
Verified email at amazon.com - Homepage
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Year
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
N Das, M Shanbhogue, ST Chen, F Hohman, L Chen, ME Kounavis, ...
arXiv preprint arXiv:1705.02900, 2017
3512017
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
2202020
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
2182018
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
N Das, M Shanbhogue, ST Chen, L Chen, ME Kounavis, DH Chau
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
382019
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
36*2020
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
232020
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning
N Das, S Bodapati, M Sunkara, S Srinivasan, DH Chau
Interspeech 2021, 1314--1318, 2021
222021
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
202020
Listen, know and spell: Knowledge-infused subword modeling for improving asr performance of oov named entities
N Das, M Sunkara, D Bekal, DH Chau, S Bodapati, K Kirchhoff
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
172022
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
172021
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
142018
Passage: A travel safety assistant with safe path recommendations for pedestrians
M Garvey, N Das, J Su, M Natraj, B Verma
Companion Publication of the 21st International Conference on Intelligent …, 2016
142016
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
102020
The Efficacy of SHIELD under Different Threat Models
C Cornelius, N Das, ST Chen, L Chen, M Kounavis, DH Chau
Workshop on Learning and Mining for Cybersecurity at the 25th ACM SIGKDD …, 2019
62019
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
52021
MLsploit: A Framework for Interactive Experimentation with Adversarial Machine Learning Research
N Das, S Li, C Jeon, J Jung, ST Chen, C Yagemann, E Downing, H Park, ...
Project Showcase Workshop at the 25th ACM SIGKDD International Conference on …, 2019
52019
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
42022
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
42021
A cluster-then-label approach for few-shot learning with application to automatic image data labeling
R Wu, N Das, S Chaba, S Gandhi, DH Chau, X Chu
ACM Journal of Data and Information Quality (JDIQ) 14 (3), 1-23, 2022
32022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
H Park, S Lee, B Hoover, A Wright, O Shaikh, R Duggal, N Das, J Hoffman, ...
arXiv preprint arXiv:2203.16475, 2022
22022
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