News

• (06/2024) One project is funded by the 2024 Jiangsu Province Excellent Postdoctoral Program.
• (04/2024) One paper “Diversity supporting robustness: Enhancing adversarial robustness via differentiated ensemble predictions.” accepted to Computers & Security.
• (03/2024) One paper “Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems.” accepted to Neurocomputing.
• (03/2024) One paper “Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models.” accepted to IJCNN 2024.
• (12/2023) I get one paper “A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System.” accepted to Computers & Security !
• (09/2023) I get one paper “Hierarchical Distribution-Aware Testing of Deep Learning.” accepted to ACM Transactions on Software Engineering and Methodology !
• (07/2023) I get one paper “SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability.” accepted to ICCV 2023 !
• (05/2022) I am honored to have my doctoral reseach featured in the university’s news column: “Becoming an Expert: Safety Problems in Learning-enabled Autonomous System”.
• (07/2021) I am one of the winners of the SIEMENSE AI-DA challenge, which concerns how to assess the dependability of machine learning models. Specifically, I win the “most original approach” award. There are 32 teams from 15 countries participated in this challenge. News can also be found in the university website.