Nilaksh Das
Title
Cited by
Cited by
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
892017
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
512018
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
62018
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
52019
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
42018
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
32016
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
12020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
arXiv preprint arXiv:2001.02004, 2020
12020
GOGGLES: Automatic Image Labeling with Affinity Coding
N Das, S Chaba, R Wu, S Gandhi, DH Chau, X Chu
arXiv preprint arXiv:1903.04552, 2019
12019
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
arXiv preprint arXiv:2004.15004, 2020
2020
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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