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ICSE 2022
Sun 8 - Fri 27 May 2022
Mon 9 May 2022 08:30 - 09:00 at MET room - Metamorphic Testing in Deep Learning Chair(s): Xiaoyuan Xie

Fairness of deepfake detectors in the presence of anomalies are not well investigated, especially if those anomalies are more prominent in either male or female subjects. The primary motivation for this work is to evaluate how deepfake detection model behaves under such anomalies. However, due to the black-box nature of deep learning (DL) and artificial intelligence (AI) systems, it is hard to predict the performance of a model when the input data is modified. Crucially, if this defect is not addressed properly, it will adversely affect the fairness of the model and result in discrimination of certain sub-population unintentionally. Therefore, the objective of this work is to adopt metamorphic testing to examine the reliability of the selected deepfake detection model, and how the transformation of input variation places influence on the output. We have chosen MesoInception-4, a state-of-the-art deepfake detection model, as the target model and makeup as the anomalies.

Mon 9 May

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

08:00 - 09:30
Metamorphic Testing in Deep LearningMET at MET room
Chair(s): Xiaoyuan Xie School of Computer Science, Wuhan University, China
In-Place Metamorphic Exploration and Testing
Zhi Quan (George) Zhou University of Wollongong, Australia, Junting Zhu University of Wollongong, Tsong Yueh Chen Swinburne University of Technology, Dave Towey University of Nottingham Ningbo China
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing
Muxin Pu Monash University Malaysia, Meng Yi Kuan Monash University Malaysia, Nyee Thoang Lim Monash University Malaysia, Mei Kuan Lim Monash University Malaysia, Chun Yong Chong Monash University Malaysia
SR-MT:A Metamorphic Method to Test Robustness of Speech Recognition Software
Feifei Wang Naval University of Engineering, Kerong Ben Naval University of Engineering, Xian Zhang Naval University of Engineering

Information for Participants
Mon 9 May 2022 08:00 - 09:30 at MET room - Metamorphic Testing in Deep Learning Chair(s): Xiaoyuan Xie
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