Machine Learning Testing: Survey, Landscapes and Horizons

19 June 2019

Yang Liu

Papers citing "Machine Learning Testing: Survey, Landscapes and Horizons"

24 / 224 papers shown

Title
Verifying Individual Fairness in Machine Learning Models Philips George John Deepak Vijaykeerthy Diptikalyan Saha FaML 27 57 0 21 Jun 2020
Quality Management of Machine Learning Systems P. Santhanam 6 18 0 16 Jun 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review Sonali Agarwal Narinder Singh Punn S. K. Sonbhadra M. Tanveer P. Nagabhushan K. K. S. Pandian Praveer Saxena 16 58 0 23 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang R. Feldt S. Yoo AAML 26 32 0 19 May 2020
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors Bushra Sabir Muhammad Ali Babar R. Gaire A. Abuadbba AAML 27 10 0 18 May 2020
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study Yang Ren Gregory Gay Christian Kastner Pooyan Jamshidi 17 3 0 13 May 2020
Testing Machine Translation via Referential Transparency Pinjia He Clara Meister Z. Su 10 49 0 22 Apr 2020
Towards Automating the AI Operations Lifecycle Matthew Arnold Jeffrey Boston Michael Desmond Evelyn Duesterwald Benjamin Elder Anupama Murthi Jirí Navrátil Darrell Reimer 8 9 0 28 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology Stefan Studer T. Bui C. Drescher A. Hanuschkin Ludwig Winkler S. Peters Klaus-Robert Muller 10 173 0 11 Mar 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 18 9 0 15 Feb 2020
AI safety: state of the field through quantitative lens Mislav Juric A. Sandic Mario Brčič 23 24 0 12 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 30 98 0 09 Feb 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 44 29 0 08 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 37 87 0 03 Feb 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 20 80 0 22 Jan 2020
Amora: Black-box Adversarial Morphing Attack Run Wang Felix Juefei Xu Qing Guo Yihao Huang Xiaofei Xie L. Ma Yang Liu AAML 4 44 0 09 Dec 2019
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study Fitash Ul Haq Donghwan Shin S. Nejati Lionel C. Briand 11 61 0 28 Nov 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning Samet Demir Hasan Ferit Eniser A. Sen AAML 11 28 0 24 Nov 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field Zenan Li Xiaoxing Ma Chang Xu Jingwei Xu Chun Cao Jian Lu 24 28 0 06 Oct 2019
Blessing of dimensionality at the edge I. Tyukin Alexander N. Gorban A. McEwan Sepehr Meshkinfamfard Lixin Tang 13 8 0 30 Sep 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 307 10,621 0 19 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,368 0 25 Aug 2014