| 2025 | ACL | Better Red Teaming via Searching with Large Language Model. | Yongkang Chen, Chongyang Zhao, Jianwentian Jianwentian, Guiling Cao, Hu Li, Xiaohui Kuang |
| 2025 | EMNLP | Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations. | Yongkang Chen, Xiaohu Du, Xiaotian Zou, Chongyang Zhao, Huan Deng, Hu Li, Xiaohui Kuang |
| 2025 | NDSS | Density Boosts Everything: A One-stop Strategy for Improving Performance, Robustness, and Sustainability of Malware Detectors. | Jianwen Tian, Wei Kong, Debin Gao, Tong Wang, Taotao Gu, Kefan Qiu, Zhi Wang, Xiaohui Kuang |
| 2024 | ICRA | A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing. | Wei Kong, Hu Li, Qianjin Du, Huayang Cao, Xiaohui Kuang |
| 2024 | ISSTA | Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. | Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao |
| 2024 | TrustCom | Enhancing Adversarial Robustness through Self-Supervised Confidence-Based Denoising. | Yongkang Chen, Tong Wang, Wei Kong, Taotao Gu, Guiling Cao, Xiaohui Kuang |
| 2023 | APNOMS | Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN. | Wei Kong, Qianjin Du, Huayang Cao, Hu Li, Tong Wang, Jianwen Tian, Xiaohui Kuang |
| 2023 | DASFAA | Fine-Grained Software Vulnerability Detection via Neural Architecture Search. | Qianjin Du, Xiaohui Kuang, Xiang Li, Gang Zhao |
| 2023 | DEXA | A Study on Vulnerability Code Labeling Method in Open-Source C Programs. | Yaning Zheng, Dongxia Wang, Huayang Cao, Cheng Qian, Xiaohui Kuang, Honglin Zhuang |
| 2023 | EMNLP | Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. | Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai |
| 2023 | ICONIP | ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving. | Huan Deng, Minhuan Huang, Tong Wang, Hu Li, Jianwen Tian, Qian Yan, Xiaohui Kuang |
| 2023 | IJCNN | Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. | Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao |
| 2023 | ISCC | Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. | Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, Gang Zhao |
| 2023 | SEKE | Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). | Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong |
| 2022 | EMNLP | Code Vulnerability Detection via Nearest Neighbor Mechanism. | Qianjin Du, Xiaohui Kuang, Gang Zhao |
| 2022 | HPCC | A Data-free Black-box Attack for Generating Transferable Adversarial Examples. | Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang, Han Zhang, Xuhong Zhang |
| 2022 | IJCAI | Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. | Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao |
| 2022 | ICTAI | Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis. | Mingyuan Ma, Hu Li, Xiaohui Kuang |
| 2022 | ISCC | StinAttack: A Lightweight and Effective Adversarial Attack Simulation to Ensemble IDSs for Satellite- Terrestrial Integrated Network. | Shangyuan Zhuang, Jiyan Sun, Hangsheng Zhang, Xiaohui Kuang, Ling Pang, Haitao Liu, Yinlong Liu |
| 2022 | TrustCom | Dynamic and Diverse Transformations for Defending Against Adversarial Examples. | Yongkang Chen, Ming Zhang, Jin Li, Xiaohui Kuang, Xuhong Zhang, Han Zhang |
| 2021 | ICIG | Free Adversarial Training with Layerwise Heuristic Learning. | Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang |
| 2021 | IWCMC | PPO-RM: Proximal Policy Optimization Based Route Mutation for Multimedia Services. | Jiahao Shen, Tao Zhang, Bingchi Zhang, Weixiao Ji, Xiaohui Kuang, Changqiao Xu |
| 2020 | GLOBECOM | Intelligent-driven Adapting Defense Against the Client-side DNS Cache Poisoning in the Cloud. | Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco |
| 2020 | ICONIP | Non-norm-bounded Attack for Generating Adversarial Examples. | Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao |
| 2020 | ISPASS | A Study on Mesh Hybrid Memory Cube Network. | Cheng Qian, Ming Zhang, Xiaohui Kuang, Gang Zhao |
| 2020 | IWCMC | DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services. | Tao Zhang, Changqiao Xu, Bingchi Zhang, Xiaohui Kuang, Yue Wang, Shujie Yang, Gabriel-Miro Muntean |
| 2020 | QRS | A Hybrid Interface Recovery Method for Android Kernels Fuzzing. | Shuaibing Lu, Xiaohui Kuang, Yuanping Nie, Zhechao Lin |
| 2020 | TrustCom | Enhancing Randomization Entropy of x86-64 Code while Preserving Semantic Consistency. | Xuewei Feng, Dongxia Wang, Zhechao Lin, Xiaohui Kuang, Gang Zhao |
| 2019 | GLOBECOM | An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness. | Tao Zhang, Xiaohui Kuang, Zan Zhou, Hongquan Gao, Changqiao Xu |
| 2019 | ICICS | Neuron Selecting: Defending Against Adversarial Examples in Deep Neural Networks. | Ming Zhang, Hu Li, Xiaohui Kuang, Ling Pang, Zhendong Wu |
| 2019 | IWCMC | SE-PSO: Resource Scheduling Strategy for Multimedia Cloud Platform Based on Security Enhanced Virtual Migration. | Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong |
| 2018 | NPC | Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. | Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin |
| 2018 | UIC | A General Testing Framework Based on Veins for Securing VANET Applications. | Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Jingzhe Zhang, Huayang Cao, Fei Xu |
| 2011 | SIN | Research on survivability metrics based on survivable process of network system. | Liang Ming, Minhuan Huang, Dongxia Wang, Xiaohui Kuang, Chunlei Wang, Xuewei Feng |
| 2009 | ICPADS | Research on Technologies of Building Experimental Environment for Network Worm Simulation. | Minhuan Huang, Xiaohui Kuang, Yan Wen, Hong Tang, Fei Xu |