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Uyeong Jang
Uyeong Jang
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Objective metrics and gradient descent algorithms for adversarial examples in machine learning
U Jang, X Wu, S Jha
Proceedings of the 33rd Annual Computer Security Applications Conference ¡¦, 2017
1272017
Detecting adversarial examples using data manifolds
S Jha, U Jang, S Jha, B Jalaian
MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 547-552, 2018
312018
Reinforcing adversarial robustness using model confidence induced by adversarial training
X Wu, U Jang, J Chen, L Chen, S Jha
International conference on machine learning, 5334-5342, 2018
272018
On the need for topology-aware generative models for manifold-based defenses
U Jang, S Jha, S Jha
arXiv preprint arXiv:1909.03334, 2019
172019
Analyzing and improving neural networks by generating semantic counterexamples through differentiable rendering
L Jain, V Chandrasekaran, U Jang, W Wu, A Lee, A Yan, S Chen, S Jha, ...
arXiv preprint arXiv:1910.00727, 2019
142019
Generating semantic adversarial examples with differentiable rendering
L Jain, S Chen, W Wu, U Jang, V Chandrasekaran, S Seshia, S Jha
122019
The manifold assumption and defenses against adversarial perturbations
X Wu, U Jang, L Chen, S Jha
62018
Holistic Cube Analysis: A Query Framework for Data Insights
X Wu, S Deep, J Benassi, F Li, Y Zhang, U Jang, J Foster, S Kim, Y Sun, ...
arXiv preprint arXiv:2302.00120, 2023
12023
Bilevel Relations and Their Applications to Data Insights
X Wu, X Yu, S Deep, A Mahmood, U Jang, S Viglas, S Jha, J Cieslewicz, ...
arXiv preprint arXiv:2311.04824, 2023
2023
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