Approximation-guided Fairness Testing through Discriminatory Space Analysis
This program is tentative and subject to change.
As machine learning (ML) systems are increasingly used in various fields, including tasks with high social impact, concerns about their fairness are growing. To address these concerns, individual fairness testing (IFT) has been introduced to identify individual discriminatory instances (IDIs) that indicate the violation of individual fairness in a given ML classifier. In this paper, we propose a black-box testing algorithm for IFT, named AFT (short for Approximation-guided Fairness Testing). AFT constructs approximate models based on decision trees, and generates test cases by sampling paths of the decision trees. Our evaluation by experiments confirms that AFT outperforms the state-of-the-art black-box IFT algorithm ExpGA both in efficiency (by 3.42 times) and diversity of IDIs identified by algorithms (by 1.16 times).
This program is tentative and subject to change.
Tue 29 OctDisplayed time zone: Pacific Time (US & Canada) change
13:30 - 15:00 | |||
13:30 15mTalk | Spotting Code Mutation for Predictive Mutation Testing Research Papers Yifan Zhao Peking University, Yizhou Chen Peking University, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Qingyuan Liang Peking University, Guoqing Wang Peking University, Dan Hao Peking University | ||
13:45 15mTalk | Efficient Detection of Test Interference in C Projects Research Papers | ||
14:00 15mTalk | MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing Research Papers Congying Xu Fudan University, China, Songqiang Chen The Hong Kong University of Science and Technology, Jiarong Wu The Hong Kong University of Science and Technology, Shing-Chi Cheung Hong Kong University of Science and Technology, Valerio Terragni University of Auckland, Hengcheng Zhu The Hong Kong University of Science and Technology, Jialun Cao Hong Kong University of Science and Technology | ||
14:15 15mTalk | Approximation-guided Fairness Testing through Discriminatory Space Analysis Research Papers Zhenjiang Zhao Graduate School of Informatics and Engineering, University of Electro-Communications, Tokyo, Japan, Takahisa Toda The University of Electro-Communications, Takashi Kitamura | ||
14:30 15mTalk | Integrating Mutation Testing into Developer Workflow: An Industrial Case Study Industry Showcase Stefan Alexander van Heijningen Chalmers and University of Gothenburg, Theo Wiik Chalmers and University of Gothenburg, Francisco Gomes de Oliveira Neto Chalmers | University of Gothenburg, Gregory Gay Chalmers | University of Gothenburg, Kim Viggedal Zenseact, David Friberg Zenseact | ||
14:45 15mTalk | Test Case Generation for Simulink Models using Model Fuzzing and State Solving Research Papers Zhuo Su KLISS, BNRist, School of Software, Tsinghua University, Zehong Yu KLISS, BNRist, School of Software, Tsinghua University, Dongyan Wang Information Technology Center, Renmin University of China, Wanli Chang College of Computer Science and Electronic Engineering, Hunan University, Bin Gu Beijing Institute of Control Engineering, Yu Jiang Tsinghua University | ||