Jiefeng Chen
Title
Cited by
Cited by
Year
Robust Out-of-distribution Detection for Neural Networks
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2003.09711, 2020
252020
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
24*2018
Robust Attribution Regularization
J Chen, X Wu, V Rastogi, Y Liang, S Jha
arXiv preprint arXiv:1905.09957, 2019
232019
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
182018
Concise Explanations of Neural Networks using Adversarial Training
P Chalasani, J Chen, AR Chowdhury, S Jha, X Wu
International Conference on Machine Learning, 2020
92020
AI-GAN: Attack-inspired generation of adversarial examples
T Bai, J Zhao, J Zhu, S Han, J Chen, B Li, A Kot
2021 IEEE International Conference on Image Processing (ICIP), 2543-2547, 2021
82021
Query-efficient physical hard-label attacks on deep learning visual classification
R Feng, J Chen, NR Manohar, E Fernandes, S Jha, A Prakash
62020
ReabsNet: Detecting and Revising Adversarial Examples
J Chen, Z Meng, C Sun, W Tang, Y Zhu
arXiv preprint arXiv:1712.08250, 2017
62017
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2006.15207, 2020
52020
Robust out-of-distribution detection via informative outlier mining
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2006.15207 1 (2), 7, 2020
42020
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
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
J Chen, F Liu, B Avci, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2106.15728, 2021
2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
T Bai, J Zhao, J Zhu, S Han, J Chen, B Li, A Kot
IEEE Internet of Things Journal, 2021
2021
Towards Adversarial Robustness via Transductive Learning
J Chen, Y Guo, X Wu, T Li, Q Lao, Y Liang, S Jha
arXiv preprint arXiv:2106.08387, 2021
2021
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Articles 1–15