Activity Recognition via Channel Response: From Theoretical Analysis to Real-World Experiments. - Yu Gu 003; Jianwen Tian; Liwen Zhang; Zhi Liu 002; Fuji Ren; Xiaoyan Wang 003 (VTC Spring, 2017)

Walls Have Ears: Eavesdropping User Behaviors via Graphics-Interrupt-Based Side Channel. - Haoyu Ma; Jianwen Tian; Debin Gao; Chunfu Jia (ISC, 2020)

Detecting Adversarial Samples in Neural Network with Statistical Metrics: A Practical Approach. - Wei Kong; Huayang Cao; Jianwen Tian; Xiaohui Kuang (DSC, 2021)

Generating Highly Structured Inputs: A Survey. - Yabin Li; Yinfan Qin; Jianwen Tian; Taotao Gu; Yuanping Nie; Xiaohui Kuang (DSC, 2021)

Gradient-oriented gray-box protocol fuzzing. - Yinfan Qin; Xiang Li 078; Jianwen Tian; Taotao Gu; Xiaohui Kuang (DSC, 2021)

Design and Analysis of Cooperative Broadcast Scheme Based on Reliability in Mesh Network. - Zufang Dou; Jianwen Tian; Qiaoli Yang; Liben Yang (Mob. Inf. Syst., 2021)

Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. - Haoyu Ma; Jianwen Tian; Kefan Qiu; David Lo 001; Debin Gao; Daoyuan Wu; Chunfu Jia; Thar Baker (IEEE Trans. Ind. Informatics, 2021)

An Automatic Code Generation Method Based on Sequence Generative Adversarial Network. - Hanwen Sun; Yuanping Nie; Xiang Li 078; Minhuan Huang; Jianwen Tian; Wei Kong (DSC, 2022)

Group-based corpus scheduling for parallel fuzzing. - Taotao Gu; Xiang Li 078; Shuaibing Lu; Jianwen Tian; Yuanping Nie; Xiaohui Kuang; Zhechao Lin; Chenyifan Liu; Jie Liang 006; Yu Jiang 001 (ESEC/SIGSOFT FSE, 2022)

On the Effectiveness of Using Graphics Interrupt as a Side Channel for User Behavior Snooping. - Haoyu Ma; Jianwen Tian; Debin Gao; Chunfu Jia (IEEE Trans. Dependable Secur. Comput., 2022)

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 (APNOMS, 2023)

Survey on Fuzzing Techniques in Deep Learning Libraries. - Jiahe Ji; Wei Kong; Jianwen Tian; Taotao Gu; Yuanping Nie; Xiaohui Kuang (DSC, 2023)

ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving. - Huan Deng; Minhuan Huang; Tong Wang 042; Hu Li; Jianwen Tian; Qian Yan; Xiaohui Kuang (ICONIP (13), 2023)

Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. - Tong Wang 042; Xiaohui Kuang; Huan Deng; Taotao Gu; Wei Kong; Jianwen Tian; Gang Zhao (IJCNN, 2023)

Sparsity Brings Vulnerabilities: Exploring New Metrics in Backdoor Attacks. - Jianwen Tian; Kefan Qiu; Debin Gao; Zhi Wang 014; Xiaohui Kuang; Gang Zhao (USENIX Security Symposium, 2023)

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 014; Xiaohui Kuang (NDSS, 2025)