| 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 | 148 | 2017 |
| 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 | 92 | 2018 |
| 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, 2020 | 16 | 2020 |
| ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio N Das, M Shanbhogue, ST Chen, L Chen, ME Kounavis, DH Chau Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 13 | 2018 |
| 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 | 7* | 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 | 7 | 2020 |
| 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 | 5 | 2018 |
| 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 | 5 | 2016 |
| 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 | 4 | 2019 |
| 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 | 2 | 2020 |
| Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng arXiv preprint arXiv:2009.02608, 2020 | 1 | 2020 |
| EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models O Shaikh, J Saad-Falcon, AP Wright, N Das, S Freitas, OI Asensio, ... arXiv preprint arXiv:2103.16435, 2021 | | 2021 |
| Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning N Das, S Bodapati, M Sunkara, S Srinivasan, DH Chau arXiv preprint arXiv:2103.05834, 2021 | | 2021 |
| 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 arXiv preprint arXiv:2101.10586, 2021 | | 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 | | 2019 |
Duen Horng (Polo) ChauAssociate Professor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
