Jiefeng Chen
Title
Cited by
Cited by
Year
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks
J Chen, X Wu, V Rastogi, Y Liang, S Jha
arXiv preprint arXiv:1805.07816, 2018
22*2018
Robust Attribution Regularization
J Chen, X Wu, V Rastogi, Y Liang, S Jha
arXiv preprint arXiv:1905.09957, 2019
172019
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
142018
Robust Out-of-distribution Detection for Neural Networks
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2003.09711, 2020
112020
Concise Explanations of Neural Networks using Adversarial Training
P Chalasani, J Chen, AR Chowdhury, S Jha, X Wu
International Conference on Machine Learning, 2020
72020
AI-GAN: Attack-Inspired Generation of Adversarial Examples
T Bai, J Zhao, J Zhu, S Han, J Chen, B Li
arXiv preprint arXiv:2002.02196, 2020
42020
ReabsNet: Detecting and Revising Adversarial Examples
J Chen, Z Meng, C Sun, W Tang, Y Zhu
arXiv preprint arXiv:1712.08250, 2017
32017
Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
R Feng, J Chen, N Manohar, E Fernandes, S Jha, A Prakash
arXiv preprint arXiv:2002.07088, 2020
22020
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation
X Wu, Y Guo, J Chen, Y Liang, S Jha, P Chalasani
arXiv preprint arXiv:2004.10390, 2020
12020
The Effects of Self-Driving Vehicles on Traffic Capacity.
Y Shi, J Chen, Q Li
UMAP Journal 38 (3), 2017
12017
Robust Out-of-distribution Detection via Informative Outlier Mining
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2006.15207, 2020
2020
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Articles 1–11