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Bryant Chen
Bryant Chen
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Detecting backdoor attacks on deep neural networks by activation clustering
B Chen, W Carvalho, N Baracaldo, H Ludwig, B Edwards, T Lee, I Molloy, ...
arXiv preprint arXiv:1811.03728, 2018
7992018
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
5892018
Mitigating poisoning attacks on machine learning models: A data provenance based approach
N Baracaldo, B Chen, H Ludwig, JA Safavi
Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017
1402017
Detecting poisoning attacks on machine learning in IoT environments
N Baracaldo, B Chen, H Ludwig, A Safavi, R Zhang
2018 IEEE international congress on internet of things (ICIOT), 57-64, 2018
892018
Graphical tools for linear structural equation modeling
B Chen, J Pearl
Psychometrica, forthcoming, 2014
622014
Regression and causation: a critical examination of six econometrics textbooks
B Chen, J Pearl
Real-World Economics Review, Issue, 2013
612013
Sensitivity analysis of linear structural causal models
C Cinelli, D Kumor, B Chen, J Pearl, E Bareinboim
International conference on machine learning, 1252-1261, 2019
572019
Using gradients to detect backdoors in neural networks
W Carvalho, B Chen, BJ Edwards, T Lee, IM Molloy, J Zhang
US Patent 11,132,444, 2021
562021
Testable implications of linear structural equation models
B Chen, J Tian, J Pearl
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
412014
Identification and model testing in linear structural equation models using auxiliary variables
B Chen, D Kumor, E Bareinboim
International Conference on Machine Learning, 757-766, 2017
282017
Adversarial Robustness Toolbox v1. 0.0. arXiv 2018
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 1807
261807
Identification and overidentification of linear structural equation models
B Chen
Advances in neural information processing systems 29, 2016
242016
Incorporating knowledge into structural equation models using auxiliary variables
B Chen, J Pearl, E Bareinboim
Twenty-Fifth International Joint Conference on Artificial Intelligence, 3577 …, 2016
202016
Incorporating knowledge into structural equation models using auxiliary variables
B Chen, J Pearl, E Bareinboim
arXiv preprint arXiv:1511.02995, 2015
202015
A unifying causal framework for analyzing dataset shift-stable learning algorithms
A Subbaswamy, B Chen, S Saria
Journal of Causal Inference 10 (1), 64-89, 2022
192022
Efficient identification in linear structural causal models with instrumental cutsets
D Kumor, B Chen, E Bareinboim
Advances in Neural Information Processing Systems 32, 2019
162019
Detecting and mitigating poison attacks using data provenance
N Baracaldo-Angel, B Chen, E Duesterwald, HH Ludwig
US Patent 11,689,566, 2023
152023
Detecting poisoning attacks on neural networks by activation clustering
B Chen, W Carvalho, HH Ludwig, IM Molloy, T Lee, J Zhang, BJ Edwards
US Patent 11,188,789, 2021
142021
Exogeneity and robustness
B Chen, J Pearl
Technical report, Tech. Rep, 2015
132015
A simultaneous discover-identify approach to causal inference in linear models
C Zhang, B Chen, J Pearl
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10318 …, 2020
122020
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