Uyeong Jang

According to our database, Uyeong Jang authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Bilevel Relations and Their Applications to Data Insights.

Xi Wu, Xiangyao Yu, Shaleen Deep, Ahmed Mahmood, Uyeong Jang, Stratis Viglas, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton

CoRR, 2023

Holistic Cube Analysis: A Query Framework for Data Insights.

Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton

CoRR, 2023

2020

On the Need for Topology-Aware Generative Models for Manifold-Based Defenses.

Uyeong Jang, Susmit Jha, Somesh Jha

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Generating Semantic Adversarial Examples with Differentiable Rendering.

Lakshya Jain, Wilson Wu, Steven Chen, Uyeong Jang, Varun Chandrasekaran, Sanjit A. Seshia, Somesh Jha

CoRR, 2019

On Need for Topology Awareness of Generative Models.

Uyeong Jang, Susmit Jha, Somesh Jha

CoRR, 2019

2018

Detecting Adversarial Examples Using Data Manifolds.

Susmit Jha, Uyeong Jang, Somesh Jha, Brian Jalaian

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training.

Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Manifold Assumption and Defenses Against Adversarial Perturbations.

Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha

CoRR, 2017

Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning.

Uyeong Jang, Xi Wu, Somesh Jha

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017