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Practical Machine Learning Safety: A Survey and Primer


Jun 09, 2021
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa


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Multi-task Transformation Learning for Robust Out-of-Distribution Detection


Jun 07, 2021
Sina Mohseni, Arash Vahdat, Jay Yadawa


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Machine Learning Explanations to Prevent Overtrust in Fake News Detection


Jul 27, 2020
Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan


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Practical Solutions for Machine Learning Safety in Autonomous Vehicles


Dec 20, 2019
Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang

* Accepted at Safe AI workshop at AAAI 2020 

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XFake: Explainable Fake News Detector with Visualizations


Jul 08, 2019
Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia Hu

* 4 pages, WebConf'2019 Demo 

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Predicting Model Failure using Saliency Maps in Autonomous Driving Systems


May 19, 2019
Sina Mohseni, Akshay Jagadeesh, Zhangyang Wang

* Presented at ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning 

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A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning


Jan 16, 2018
Sina Mohseni, Eric D. Ragan

* Benchmark Available online at https://github.com/SinaMohseni/ML-Interpretability-Evaluation-Benchmark 

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