| 2026 | AAAI | FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence. | Yalun Wu, Liu Liu, Endong Tong, Yingxiao Xiang, Xiaoting Lyu, Zhen Han, Jiqiang Liu |
| 2024 | KSEM | Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks Against Lane Detection Models. | Xiaoshu Cui, Yalun Wu, Yanfeng Gu, Qiong Li, Endong Tong, Jiqiang Liu, Wenjia Niu |
| 2024 | KSEM | Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. | Jiayin Song, Yike Li, Yunzhe Tian, Xingyu Wu, Qiong Li, Endong Tong, Wenjia Niu, Zhenguo Zhang, Jiqiang Liu |
| 2023 | IJCAI | Robust Reinforcement Learning via Progressive Task Sequence. | Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2023 | ISSRE | Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks. | Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin, Zheng Zheng |
| 2021 | HPCC | Blockchain-based decentralized federated learning: A secure and privacy-preserving system. | Shuang Zhao, Yalun Wu, Rui Sun, Xiaoai Qian, Dong Zi, Zhiqiang Xie, Endong Tong, Wenjia Niu, Jiqiang Liu, Zhen Han |
| 2021 | ICA3PP | Security Analysis of Poisoning Attacks Against Multi-agent Reinforcement Learning. | Zhiqiang Xie, Yingxiao Xiang, Yike Li, Shuang Zhao, Endong Tong, Wenjia Niu, Jiqiang Liu, Jian Wang |
| 2021 | ICICS | Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning. | Yalun Wu, Minglu Song, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Bowei Jia, Haixiang Huang, Qiong Li, Jiqiang Liu |
| 2021 | SRDS | Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. | Tong Chen, Yingxiao Xiang, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu, Gang Li, Qi Alfred Chen |
| 2020 | ICPADS | Exploring Data Correlation between Feature Pairs for Generating Constraint-based Adversarial Examples. | Yunzhe Tian, Yingdi Wang, Endong Tong, Wenjia Niu, Liang Chang, Qi Alfred Chen, Gang Li, Jiqiang Liu |
| 2020 | ICPADS | Explainable Congestion Attack Prediction and Software-level Reinforcement in Intelligent Traffic Signal System. | Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Jiqiang Liu |
| 2020 | ISPA | Constructing Optimal Sparse Decision Tree for Analying I-SIG System Attack. | Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Qi Alfred Chen, Gang Li, Jiqiang Liu, Long Li |
| 2020 | VECoS | A C-IFGSM Based Adversarial Approach for Deep Learning Based Intrusion Detection. | Yingdi Wang, Yixiang Wang, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2014 | PRICAI | Towards Optimal Lifetime in Wireless Sensor Networks for QoS Guaranteed Service Selection. | Endong Tong, Lan Chen, Ying Li |
| 2012 | PRICAI | Hierarchical Workflow Management in Wireless Sensor Network. | Endong Tong, Wenjia Niu, Gang Li, Hui Tang, Ding Tang, Song Ci |
| 2011 | ICSOC | Reasoning-Based Context-Aware Workflow Management in Wireless Sensor Network. | Endong Tong, Wenjia Niu, Hui Tang, Gang Li, Zhijun Zhao |