Title
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection Yan Liang Ziqi Zhang Bingyan Liu Ziyue Yang Yunxin Liu 27 53 0 11 Jun 2021
Distribution Awareness for AI System Testing David Berend 24 8 0 06 May 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 46 43 0 24 Mar 2021
Testing Autonomous Systems with Believed Equivalence Refinement Chih-Hong Cheng Rongjie Yan 22 0 0 08 Mar 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 32 35 0 27 Feb 2021
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks Muhammad Usman Yannic Noller C. Păsăreanu Youcheng Sun D. Gopinath 35 8 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 55 0 24 Jan 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yan Liang Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps Yujin Huang Han Hu Chunyang Chen AAML FedML 79 33 0 12 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 18 40 0 07 Nov 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 39 33 0 19 Sep 2020
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining Qing Guo Jingyang Sun Felix Juefei Xu Lei Ma Xiaofei Xie Wei Feng Yang Liu 29 101 0 19 Sep 2020
Deep Learning & Software Engineering: State of Research and Future Directions P. Devanbu Matthew B. Dwyer Sebastian G. Elbaum M. Lowry Kevin Moran Denys Poshyvanyk Baishakhi Ray Rishabh Singh Xiangyu Zhang 11 22 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo Li AAML 38 128 0 09 Sep 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 21 3 0 07 Aug 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie Lei Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 17 3 0 02 Jul 2020
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms Hua Qi Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Wei Feng Yang Liu Jianjun Zhao CVBM 45 198 0 13 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu Yu Chen Xiaofei Xie J. Siow Yang Liu 23 164 0 09 Jun 2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices Run Wang Felix Juefei Xu Yihao Huang Qing Guo Xiaofei Xie Lei Ma Yang Liu AAML 32 105 0 28 May 2020
Machine Learning for Software Engineering: A Systematic Mapping Saad Shafiq A. Mashkoor Christoph Mayr-Dorn Alexander Egyed 36 18 0 27 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
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices Ruitao Feng Sen Chen Xiaofei Xie Guozhu Meng Shang-Wei Lin Yang Liu 36 103 0 11 May 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 16 76 0 24 Apr 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 32 98 0 09 Feb 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 44 29 0 08 Feb 2020
ReluDiff: Differential Verification of Deep Neural Networks Brandon Paulsen Jingbo Wang Chao Wang 30 53 0 10 Jan 2020
Arachne: Search Based Repair of Deep Neural Networks Jeongju Sohn Sungmin Kang S. Yoo KELM 32 46 0 28 Dec 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning Samet Demir Hasan Ferit Eniser A. Sen AAML 11 28 0 24 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 21 32 0 14 Nov 2019
Testing and verification of neural-network-based safety-critical control software: A systematic literature review Jin Zhang Jingyue Li 25 47 0 05 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 38 122 0 15 Sep 2019
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces Run Wang Felix Juefei Xu Lei Ma Xiaofei Xie Yihao Huang Jian-Xun Wang Yang Liu AAML CVBM 23 54 0 13 Sep 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 24 52 0 20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 37 18 0 19 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 37 116 0 10 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 21 92 0 30 Apr 2019
Grammar Based Directed Testing of Machine Learning Systems Sakshi Udeshi Sudipta Chattopadhyay 27 15 0 26 Feb 2019
Input Prioritization for Testing Neural Networks Taejoon Byun Vaibhav Sharma Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer AAML 29 67 0 11 Jan 2019
Superion: Grammar-Aware Greybox Fuzzing Junjie Wang Bihuan Chen Lei Wei Yang Liu 50 239 0 04 Dec 2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective Lei Ma Felix Juefei Xu Minhui Xue Q. Hu Sen Chen Bo Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See AAML 27 35 0 10 Oct 2018
Automated Test Generation to Detect Individual Discrimination in AI Models Aniya Aggarwal P. Lohia Seema Nagar Kuntal Dey Diptikalyan Saha 15 40 0 10 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer Alvin Chan Lei Ma Felix Juefei Xu Xiaofei Xie Yang Liu Yew-Soon Ong OOD AAML 27 17 0 07 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 43 40 0 04 Sep 2018