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ICSE 2022
Sun 8 - Fri 27 May 2022
Tue 10 May 2022 21:15 - 21:20 at ICSE room 3-odd hours - Machine Learning with and for SE 6 Chair(s): Ali Ouni
Fri 13 May 2022 04:10 - 04:15 at ICSE room 4-even hours - Software Fairness Chair(s): Aldeida Aleti

Deep neural networks (DNNs) have demonstrated their outperformance in various domains. However, it raises a social concern whether DNNs can produce reliable and fair decisions especially when they are applied to sensitive domains involving valuable resource allocation, such as education, loan, and employment. It is crucial to conduct fairness testing before DNNs are reliably deployed to such sensitive domains, i.e., generating as many instances as possible to uncover fairness violations. However, the existing testing methods are still limited from three aspects: interpretability, performance, and generalizability. To overcome the challenges, we propose NeuronFair, a new DNN fairness testing framework that differs from previous work in several key aspects: (1) interpretable - it quantitatively interprets DNNs’ fairness violations for the biased decision; (2) effective - it uses the interpretation results to guide the generation of more diverse instances in less time; (3) generic - it can handle both structured and unstructured data. Extensive evaluations across 7 datasets and the corresponding DNNs demonstrate NeuronFair’s superior performance. For instance, on structured datasets, it generates much more instances (∼×5.84) and saves more time (with an average speedup of 534.56%) compared with the state-of-the-art methods. Besides, the instances of NeuronFair can also be leveraged to improve the fairness of the biased DNNs, which helps build more fair and trustworthy deep learning systems. The code of NeuronFair is open-sourced at https://github.com/haibinzheng/NeuronFair.

Tue 10 May

Displayed time zone: Eastern Time (US & Canada) change

21:00 - 22:00
Machine Learning with and for SE 6Technical Track at ICSE room 3-odd hours
Chair(s): Ali Ouni ETS Montreal, University of Quebec
21:00
5m
Talk
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
Technical Track
Jialun Cao Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Meiziniu LI Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Xiao Chen Huazhong University of Science and Technology, Ming Wen Huazhong University of Science and Technology, Yongqiang Tian University of Waterloo, Bo Wu MIT-IBM Watson AI Lab in Cambridge, Shing-Chi Cheung Hong Kong University of Science and Technology
DOI Pre-print Media Attached
21:05
5m
Talk
Fast Changeset-based Bug Localization with BERT
Technical Track
Agnieszka Ciborowska Virginia Commonwealth University, Kostadin Damevski Virginia Commonwealth University
Pre-print Media Attached
21:10
5m
Talk
Multilingual training for Software Engineering
Technical Track
Toufique Ahmed University of California at Davis, Prem Devanbu Department of Computer Science, University of California, Davis
DOI Pre-print Media Attached
21:15
5m
Talk
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Technical Track
haibin zheng Zhejiang University of Technology, Zhiqing Chen Zhejiang University of Technology, Tianyu Du Zhejiang University, Xuhong Zhang Zhejiang University, Yao Cheng Huawei International, Shouling Ji Zhejiang University, Jingyi Wang Zhejiang University, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Jinyin Chen College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
DOI Pre-print Media Attached
21:20
5m
Talk
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Technical Track
Amir Mir Delft University of Technology, Evaldas Latoskinas Delft University of Technology, Sebastian Proksch Delft University of Technology, Netherlands, Georgios Gousios Endor Labs & Delft University of Technology
DOI Pre-print Media Attached
21:25
5m
Talk
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules
Technical Track
Rangeet Pan Iowa State University, USA, Hridesh Rajan Iowa State University
Pre-print Media Attached

Fri 13 May

Displayed time zone: Eastern Time (US & Canada) change

04:00 - 05:00
Software FairnessTechnical Track at ICSE room 4-even hours
Chair(s): Aldeida Aleti Monash University
04:00
5m
Talk
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Technical Track
Xuanqi Gao Xi'an Jiaotong University, Juan Zhai Rutgers University, Shiqing Ma Rutgers University, Chao Shen Xi'an Jiaotong University, Yufei Chen Xi'an Jiaotong University, Qian Wang Wuhan University
DOI Pre-print Media Attached
04:05
5m
Talk
Training Data Debugging for the Fairness of Machine Learning Software
Technical Track
Yanhui Li Department of Computer Science and Technology, Nanjing University, Linghan Meng Nanjing University, Lin Chen Department of Computer Science and Technology, Nanjing University, Li Yu Nanjing University, Di Wu Momenta, Yuming Zhou Nanjing University, Baowen Xu Nanjing University
Pre-print Media Attached
04:10
5m
Talk
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Technical Track
haibin zheng Zhejiang University of Technology, Zhiqing Chen Zhejiang University of Technology, Tianyu Du Zhejiang University, Xuhong Zhang Zhejiang University, Yao Cheng Huawei International, Shouling Ji Zhejiang University, Jingyi Wang Zhejiang University, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Jinyin Chen College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
DOI Pre-print Media Attached
04:15
5m
Talk
Explanation-Guided Fairness Testing through Genetic Algorithm
Technical Track
Ming Fan Xi'an Jiaotong University, Wenying Wei Xi'an Jiaotong University, Wuxia Jin Xi'an Jiaotong University, Zijiang Yang Western Michigan University, Ting Liu Xi'an Jiaotong University
DOI Pre-print
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Tue 10 May 2022 21:00 - 22:00 at ICSE room 3-odd hours - Machine Learning with and for SE 6 Chair(s): Ali Ouni
Info for room ICSE room 3-odd hours:

Click here to go to the room on Midspace

Fri 13 May 2022 04:00 - 05:00 at ICSE room 4-even hours - Software Fairness Chair(s): Aldeida Aleti
Info for room ICSE room 4-even hours:

Click here to go to the room on Midspace