Combinatorial Testing for Deep Learning Systems

20 June 2018

Yang Liu

Papers citing "Combinatorial Testing for Deep Learning Systems"

22 / 22 papers shown

Title
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 130 3 0 16 May 2022
White-box Testing of NLP models with Mask Neuron Coverage Arshdeep Sekhon Yangfeng Ji Matthew B. Dwyer Yanjun Qi AAML 50 3 0 10 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 60 29 0 30 Apr 2022
ExAIS: Executable AI Semantics Richard Schumi Jun Sun 38 6 0 20 Feb 2022
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 110 232 0 05 May 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 97 53 0 26 Feb 2021
RAID: Randomized Adversarial-Input Detection for Neural Networks Hasan Ferit Eniser M. Christakis Valentin Wüstholz AAML 63 15 0 07 Feb 2020
On Functional Test Generation for Deep Neural Network IPs Bo Luo Yu LI Lingxiao Wei Qiang Xu AAML 37 13 0 23 Nov 2019
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems Pengcheng Zhang Qiyin Dai Patrizio Pelliccione AAML 71 4 0 14 Nov 2019
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems Jianmin Guo Yue Zhao Xueying Han Yu Jiang AAML 74 13 0 11 Nov 2019
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks Fuyuan Zhang Sankalan Pal Chowdhury M. Christakis AAML 58 8 0 14 Oct 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 101 756 0 19 Jun 2019
Boosting Operational DNN Testing Efficiency through Conditioning Zenan Li Xiaoxing Ma Chang Xu Chun Cao Jingwei Xu Jian Lu 68 107 0 06 Jun 2019
Towards Improved Testing For Deep Learning Jasmine Sekhon C. Fleming 46 56 0 17 Feb 2019
DeepFault: Fault Localization for Deep Neural Networks Hasan Ferit Eniser Simos Gerasimou A. Sen AAML 81 88 0 15 Feb 2019
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 130 51 0 18 Dec 2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective Lei Ma Felix Juefei Xu Minhui Xue Q. Hu Sen Chen Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See AAML 80 35 0 10 Oct 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See 116 41 0 04 Sep 2018
Guiding Deep Learning System Testing using Surprise Adequacy Jinhan Kim R. Feldt S. Yoo AAML ELM 76 433 0 25 Aug 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 80 626 0 20 Mar 2018
Testing Deep Neural Networks Youcheng Sun Xiaowei Huang Daniel Kroening James Sharp Matthew Hill Rob Ashmore AAML 88 219 0 10 Mar 2018