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Concept-based Explanations for Out-Of-Distribution Detectors


Mar 04, 2022
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

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* 19 pages, 9 figures 

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Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method


Nov 19, 2021
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot

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* arXiv admin note: text overlap with arXiv:2002.02196 

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Towards Evaluating the Robustness of Neural Networks Learned by Transduction


Oct 27, 2021
Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha

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* arXiv admin note: substantial text overlap with arXiv:2106.08387 

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Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles


Jun 29, 2021
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha

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Towards Adversarial Robustness via Transductive Learning


Jun 15, 2021
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha

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Robust Out-of-distribution Detection via Informative Outlier Mining


Jun 26, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

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Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation


Apr 22, 2020
Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani

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* 25 pages, 6 figures 

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Robust Out-of-distribution Detection for Neural Networks


Apr 05, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

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Robust Out-of-distribution Detection in Neural Networks


Mar 24, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

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Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification


Feb 17, 2020
Ryan Feng, Jiefeng Chen, Nelson Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash

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