Bryant Chen

According to our database, Bryant Chen authored at least 19 papers between 2014 and 2021.

Collaborative distances:

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

2021

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game.

Zahra Ashktorab, Casey Dugan, James Johnson, Aabhas Sharma, Dustin Ramsey Torres, Ingrid Lange, Benjamin Hoover, Heiko Ludwig, Bryant Chen, Nathalie Baracaldo, Werner Geyer, Qian Pan

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Exploiting Equality Constraints in Causal Inference.

Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models.

Chi Zhang, Bryant Chen, Judea Pearl

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance.

Adarsh Subbaswamy, Bryant Chen, Suchi Saria

CoRR, 2019

Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets.

Daniel Kumor, Bryant Chen, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sensitivity Analysis of Linear Structural Causal Models.

Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim

Proceedings of the 36th International Conference on Machine Learning, 2019

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

Cross-Client SLA Management with the ysla Language and Engine.

Shashank Rajamoni, Robert Engel, Bryant Chen, Heiko Ludwig, Alexander Keller

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

Detecting Poisoning Attacks on Machine Learning in IoT Environments.

Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi, Rui Zhang

Proceedings of the 2018 IEEE International Congress on Internet of Things, 2018

ysla: Reusable and Configurable SLAs for Large-Scale SLA Management.

Robert Engel, Shashank Rajamoni, Bryant Chen, Heiko Ludwig, Alexander Keller

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017

Domain-Independent Monitoring and Visualization of SLA Metrics in Multi-provider Environments - (Short Paper).

Robert Engel, Bryant Chen, Shashank Rajamoni, Heiko Ludwig, Alexander Keller, Mohamed Mohamed, Samir Tata

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables.

Bryant Chen, Daniel Kumor, Elias Bareinboim

Proceedings of the 34th International Conference on Machine Learning, 2017

Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach.

Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016

Identification and Overidentification of Linear Structural Equation Models.

Bryant Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables.

Bryant Chen, Judea Pearl, Elias Bareinboim

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models.

Bryant Chen, Judea Pearl, Elias Bareinboim

CoRR, 2015

Decomposition and Identification of Linear Structural Equation Models.

Bryant Chen

CoRR, 2015

2014

Linear-time accurate lattice algorithms for tail conditional expectation.

Bryant Chen, William W. Y. Hsu, Jan-Ming Ho, Ming-Yang Kao

Algorithmic Finance, 2014

Testable Implications of Linear Structural Equation Models.

Bryant Chen, Jin Tian, Judea Pearl

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014