| 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 | 379 | 2017 |
| 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 | 302 | 2020 |
| 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 | 251 | 2018 |
| 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 | 49 | 2019 |
| 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 | 42* | 2020 |
| 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 | 29 | 2021 |
| 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 | 26 | 2020 |
| 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 | 25 | 2022 |
| 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 | 25 | 2020 |
| 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 | 21 | 2021 |
| 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 | 15 | 2016 |
| Speechverse: A large-scale generalizable audio language model N Das, S Dingliwal, S Ronanki, R Paturi, Z Huang, P Mathur, J Yuan, ... arXiv preprint arXiv:2405.08295, 2024 | 14 | 2024 |
| 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 | 13 | 2018 |
| 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 | 11 | 2021 |
| 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 | 10 | 2020 |
| 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 | 6 | 2019 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 5 | 2019 |
| 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 | 4 | 2022 |
Duen Horng ChauProfessor, Georgia Institute of TechnologyBestätigte E-Mail-Adresse bei gatech.edu
