Nilaksh Das
タイトル
引用先
引用先
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
1432017
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
892018
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
132020
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
102018
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
72020
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
5*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
52018
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
52016
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
42019
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
22020
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
12020
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
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