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yqtianust / awesome-ml-testing

Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.
https://yqtianust.github.io/awesome-ml-testing/
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issta 21 #11

Open yqtianust opened 3 years ago

yqtianust commented 3 years ago

Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn, Hadrien Pouget, Daniel Kroening, Tom Melham

DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search (Experience Paper) Fitash Ul Haq, Donghwan Shin, Lionel Briand, Thomas Stifter, Jun Wang

Efficient White-box Fairness Testing through Gradient Search Lingfeng Zhang, Yueling Zhang, Min Zhang

Attack as Defense: Characterizing Adversarial Examples using Robustness Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun

DialTest: Automated Testing for Recurrent-Neural-Network-Driven Dialogue Systems Zixi Liu, Yang Feng, Zhenyu Chen

Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn, Hadrien Pouget, Daniel Kroening, Tom Melham

Model-Based Testing of Networked Applications Yishuai Li, Benjamin C. Pierce, Steve Zdancewic

ModelDiff: Testing-based DNN Similarity Comparison for Model Reuse Detection Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu

Predoo: Precision Testing of Deep Learning Operators Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, Zhenyu Chen

TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects Saikat Dutta, Jeeva Selvam, Aryaman Jain, Sasa Misailovic

yqtianust commented 3 years ago

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search