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This paper conducts fairness testing of automated pedestrian detection, a crucial but under-explored issue in autonomous driving systems.
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Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece) (ESEC/FSE 2021) . Association for Computing Machinery, New York, NY, USA, 981–993
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DeepRoad: GAN-Based Metamorphic Testing and Input Validation Framework for Autonomous Driving Systems. In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (Montpellier, France) (ASE ’18) . Association for Computing Machinery, New York, NY, USA, 132–142
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Age and gender bias in pedestrian detection algorithms
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EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
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DeepXplore: Automated Whitebox Testing of Deep Learning Systems
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Pedestron: Pedestrian Detection in PyTorch
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Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece) (ESEC/FSE 2021) . Association for Computing Machinery, New York, NY, USA, 994–1006
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Jie M. Zhang and Mark Harman. 2021 · 2021
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Zhenpeng Chen, Jie M. Zhang, Federica Sarro, and Mark Harman. 2022b · 2022
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Age Should Not Matter: Towards More Accurate Pedestrian Detection via Self-Training
Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Yoshimitsu Aoki, Akio Nakamura, and Hirokatsu Kataoka. 2022 · 2022
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Ezekiel O. Soremekun, Mike Papadakis, Maxime Cordy, and Yves Le Traon. 2022 · 2022
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Demystifying software release note issues on GitHub. In Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, ICPC 2022 . 602–613
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Replication package
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A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, and Mark Harman. 2023 · 2023
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Towards Understanding Fairness and its Composition in Ensemble Machine Learning. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023 . 1533–1545
Usman Gohar, Sumon Biswas, and Hridesh Rajan. 2023 · 2023
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Broken stitch detection system for industrial sewing machines using HSV color space and image processing techniques
Hyungjung Kim, Hyunsu Lee, Semin Ahn, Woo-Kyun Jung, and Sung-Hoon Ahn. 2023 · 2023
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TESTSGD: Interpretable testing of neural networks against subtle group discrimination
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Object Detection in 20 Years: A Survey
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