This is the abstract for the ICSE 2023 artifact evaluation of paper icse23main-p1794, ``FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing''. In this abstract, we will introduce the basic information of the submitted artifact, including the paper title, the purpose of the artifact, the badges to claim, and the technical skills that the reviewers are assumed to evaluate the artifact. The URL to download the artifact is https://zenodo.org/record/7536375#.Y8JfSuxBwUE . The artifact DOI is 10.5281/zenodo.7536375.